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Publisher: Springer-Verlag (Total: 2351 journals)

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Showing 1 - 200 of 2351 Journals sorted alphabetically
3D Printing in Medicine     Open Access   (Followers: 1)
3D Research     Hybrid Journal   (Followers: 21, SJR: 0.222, CiteScore: 1)
4OR: A Quarterly J. of Operations Research     Hybrid Journal   (Followers: 10, SJR: 0.825, CiteScore: 1)
AAPS J.     Hybrid Journal   (Followers: 22, SJR: 1.118, CiteScore: 4)
AAPS PharmSciTech     Hybrid Journal   (Followers: 7, SJR: 0.752, CiteScore: 3)
Abdominal Imaging     Hybrid Journal   (Followers: 15, SJR: 0.866, CiteScore: 2)
Abhandlungen aus dem Mathematischen Seminar der Universitat Hamburg     Hybrid Journal   (Followers: 4, SJR: 0.439, CiteScore: 0)
Academic Psychiatry     Full-text available via subscription   (Followers: 26, SJR: 0.53, CiteScore: 1)
Academic Questions     Hybrid Journal   (Followers: 8, SJR: 0.106, CiteScore: 0)
Accreditation and Quality Assurance: J. for Quality, Comparability and Reliability in Chemical Measurement     Hybrid Journal   (Followers: 27, SJR: 0.316, CiteScore: 1)
Acoustical Physics     Hybrid Journal   (Followers: 11, SJR: 0.359, CiteScore: 1)
Acoustics Australia     Hybrid Journal   (SJR: 0.232, CiteScore: 1)
Acta Analytica     Hybrid Journal   (Followers: 7, SJR: 0.367, CiteScore: 0)
Acta Applicandae Mathematicae     Hybrid Journal   (Followers: 1, SJR: 0.675, CiteScore: 1)
Acta Biotheoretica     Hybrid Journal   (Followers: 4, SJR: 0.284, CiteScore: 1)
Acta Diabetologica     Hybrid Journal   (Followers: 18, SJR: 1.587, CiteScore: 3)
Acta Endoscopica     Hybrid Journal   (Followers: 1)
acta ethologica     Hybrid Journal   (Followers: 4, SJR: 0.769, CiteScore: 1)
Acta Geochimica     Hybrid Journal   (Followers: 7, SJR: 0.24, CiteScore: 1)
Acta Geodaetica et Geophysica     Hybrid Journal   (Followers: 2, SJR: 0.305, CiteScore: 1)
Acta Geophysica     Hybrid Journal   (Followers: 10, SJR: 0.312, CiteScore: 1)
Acta Geotechnica     Hybrid Journal   (Followers: 7, SJR: 1.588, CiteScore: 3)
Acta Informatica     Hybrid Journal   (Followers: 5, SJR: 0.517, CiteScore: 1)
Acta Mathematica     Hybrid Journal   (Followers: 12, SJR: 7.066, CiteScore: 3)
Acta Mathematica Hungarica     Hybrid Journal   (Followers: 2, SJR: 0.452, CiteScore: 1)
Acta Mathematica Sinica, English Series     Hybrid Journal   (Followers: 6, SJR: 0.379, CiteScore: 1)
Acta Mathematica Vietnamica     Hybrid Journal   (SJR: 0.27, CiteScore: 0)
Acta Mathematicae Applicatae Sinica, English Series     Hybrid Journal   (SJR: 0.208, CiteScore: 0)
Acta Mechanica     Hybrid Journal   (Followers: 21, SJR: 1.04, CiteScore: 2)
Acta Mechanica Sinica     Hybrid Journal   (Followers: 5, SJR: 0.607, CiteScore: 2)
Acta Metallurgica Sinica (English Letters)     Hybrid Journal   (Followers: 7, SJR: 0.576, CiteScore: 2)
Acta Meteorologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.638, CiteScore: 1)
Acta Neurochirurgica     Hybrid Journal   (Followers: 6, SJR: 0.822, CiteScore: 2)
Acta Neurologica Belgica     Hybrid Journal   (Followers: 1, SJR: 0.376, CiteScore: 1)
Acta Neuropathologica     Hybrid Journal   (Followers: 4, SJR: 7.589, CiteScore: 12)
Acta Oceanologica Sinica     Hybrid Journal   (Followers: 3, SJR: 0.334, CiteScore: 1)
Acta Physiologiae Plantarum     Hybrid Journal   (Followers: 2, SJR: 0.574, CiteScore: 2)
Acta Politica     Hybrid Journal   (Followers: 15, SJR: 0.605, CiteScore: 1)
Activitas Nervosa Superior     Hybrid Journal   (SJR: 0.147, CiteScore: 0)
adhäsion KLEBEN & DICHTEN     Hybrid Journal   (Followers: 8, SJR: 0.103, CiteScore: 0)
ADHD Attention Deficit and Hyperactivity Disorders     Hybrid Journal   (Followers: 23, SJR: 0.72, CiteScore: 2)
Adhesion Adhesives & Sealants     Hybrid Journal   (Followers: 9)
Administration and Policy in Mental Health and Mental Health Services Research     Partially Free   (Followers: 16, SJR: 1.005, CiteScore: 2)
Adsorption     Hybrid Journal   (Followers: 4, SJR: 0.703, CiteScore: 2)
Advances in Applied Clifford Algebras     Hybrid Journal   (Followers: 4, SJR: 0.698, CiteScore: 1)
Advances in Atmospheric Sciences     Hybrid Journal   (Followers: 37, SJR: 0.956, CiteScore: 2)
Advances in Computational Mathematics     Hybrid Journal   (Followers: 19, SJR: 0.812, CiteScore: 1)
Advances in Contraception     Hybrid Journal   (Followers: 3)
Advances in Data Analysis and Classification     Hybrid Journal   (Followers: 55, SJR: 1.09, CiteScore: 1)
Advances in Gerontology     Partially Free   (Followers: 8, SJR: 0.144, CiteScore: 0)
Advances in Health Sciences Education     Hybrid Journal   (Followers: 29, SJR: 1.64, CiteScore: 2)
Advances in Manufacturing     Hybrid Journal   (Followers: 4, SJR: 0.475, CiteScore: 2)
Advances in Polymer Science     Hybrid Journal   (Followers: 45, SJR: 1.04, CiteScore: 3)
Advances in Therapy     Hybrid Journal   (Followers: 5, SJR: 1.075, CiteScore: 3)
Aegean Review of the Law of the Sea and Maritime Law     Hybrid Journal   (Followers: 6)
Aequationes Mathematicae     Hybrid Journal   (Followers: 2, SJR: 0.517, CiteScore: 1)
Aerobiologia     Hybrid Journal   (Followers: 3, SJR: 0.673, CiteScore: 2)
Aesthetic Plastic Surgery     Hybrid Journal   (Followers: 9, SJR: 0.825, CiteScore: 1)
African Archaeological Review     Hybrid Journal   (Followers: 18, SJR: 0.862, CiteScore: 1)
Afrika Matematika     Hybrid Journal   (Followers: 1, SJR: 0.235, CiteScore: 0)
AGE     Hybrid Journal   (Followers: 7)
Ageing Intl.     Hybrid Journal   (Followers: 7, SJR: 0.39, CiteScore: 1)
Aggiornamenti CIO     Hybrid Journal   (Followers: 1)
Aging Clinical and Experimental Research     Hybrid Journal   (Followers: 3, SJR: 0.67, CiteScore: 2)
Agricultural Research     Hybrid Journal   (Followers: 6, SJR: 0.276, CiteScore: 1)
Agriculture and Human Values     Hybrid Journal   (Followers: 14, SJR: 1.173, CiteScore: 3)
Agroforestry Systems     Hybrid Journal   (Followers: 20, SJR: 0.663, CiteScore: 1)
Agronomy for Sustainable Development     Hybrid Journal   (Followers: 12, SJR: 1.864, CiteScore: 6)
AI & Society     Hybrid Journal   (Followers: 8, SJR: 0.227, CiteScore: 1)
AIDS and Behavior     Hybrid Journal   (Followers: 14, SJR: 1.792, CiteScore: 3)
Air Quality, Atmosphere & Health     Hybrid Journal   (Followers: 4, SJR: 0.862, CiteScore: 3)
Akupunktur & Aurikulomedizin     Full-text available via subscription   (Followers: 1)
Algebra and Logic     Hybrid Journal   (Followers: 6, SJR: 0.531, CiteScore: 0)
Algebra Universalis     Hybrid Journal   (Followers: 2, SJR: 0.583, CiteScore: 1)
Algebras and Representation Theory     Hybrid Journal   (Followers: 1, SJR: 1.095, CiteScore: 1)
Algorithmica     Hybrid Journal   (Followers: 9, SJR: 0.56, CiteScore: 1)
Allergo J.     Full-text available via subscription   (Followers: 1, SJR: 0.234, CiteScore: 0)
Allergo J. Intl.     Hybrid Journal   (Followers: 2)
Alpine Botany     Hybrid Journal   (Followers: 5, SJR: 1.11, CiteScore: 3)
ALTEX : Alternatives to Animal Experimentation     Open Access   (Followers: 3)
AMBIO     Hybrid Journal   (Followers: 10, SJR: 1.569, CiteScore: 4)
American J. of Cardiovascular Drugs     Hybrid Journal   (Followers: 16, SJR: 0.951, CiteScore: 3)
American J. of Community Psychology     Hybrid Journal   (Followers: 29, SJR: 1.329, CiteScore: 2)
American J. of Criminal Justice     Hybrid Journal   (Followers: 8, SJR: 0.772, CiteScore: 1)
American J. of Cultural Sociology     Hybrid Journal   (Followers: 16, SJR: 0.46, CiteScore: 1)
American J. of Dance Therapy     Hybrid Journal   (Followers: 4, SJR: 0.181, CiteScore: 0)
American J. of Potato Research     Hybrid Journal   (Followers: 2, SJR: 0.611, CiteScore: 1)
American J. of Psychoanalysis     Hybrid Journal   (Followers: 21, SJR: 0.314, CiteScore: 0)
American Sociologist     Hybrid Journal   (Followers: 13, SJR: 0.35, CiteScore: 0)
Amino Acids     Hybrid Journal   (Followers: 8, SJR: 1.135, CiteScore: 3)
AMS Review     Partially Free   (Followers: 4)
Analog Integrated Circuits and Signal Processing     Hybrid Journal   (Followers: 7, SJR: 0.211, CiteScore: 1)
Analysis and Mathematical Physics     Hybrid Journal   (Followers: 5, SJR: 0.536, CiteScore: 1)
Analysis in Theory and Applications     Hybrid Journal   (Followers: 1)
Analysis of Verbal Behavior     Hybrid Journal   (Followers: 5)
Analytical and Bioanalytical Chemistry     Hybrid Journal   (Followers: 31, SJR: 0.978, CiteScore: 3)
Anatomical Science Intl.     Hybrid Journal   (Followers: 3, SJR: 0.367, CiteScore: 1)
Angewandte Schmerztherapie und Palliativmedizin     Hybrid Journal  
Angiogenesis     Hybrid Journal   (Followers: 3, SJR: 2.177, CiteScore: 5)
Animal Cognition     Hybrid Journal   (Followers: 19, SJR: 1.389, CiteScore: 3)
Annales françaises de médecine d'urgence     Hybrid Journal   (Followers: 1, SJR: 0.192, CiteScore: 0)
Annales Henri Poincaré     Hybrid Journal   (Followers: 3, SJR: 1.097, CiteScore: 2)
Annales mathématiques du Québec     Hybrid Journal   (Followers: 4, SJR: 0.438, CiteScore: 0)
Annali dell'Universita di Ferrara     Hybrid Journal   (SJR: 0.429, CiteScore: 0)
Annali di Matematica Pura ed Applicata     Hybrid Journal   (Followers: 1, SJR: 1.197, CiteScore: 1)
Annals of Biomedical Engineering     Hybrid Journal   (Followers: 18, SJR: 1.042, CiteScore: 3)
Annals of Combinatorics     Hybrid Journal   (Followers: 4, SJR: 0.932, CiteScore: 1)
Annals of Data Science     Hybrid Journal   (Followers: 12)
Annals of Dyslexia     Hybrid Journal   (Followers: 10, SJR: 0.85, CiteScore: 2)
Annals of Finance     Hybrid Journal   (Followers: 30, SJR: 0.579, CiteScore: 1)
Annals of Forest Science     Hybrid Journal   (Followers: 7, SJR: 0.986, CiteScore: 2)
Annals of Global Analysis and Geometry     Hybrid Journal   (Followers: 1, SJR: 1.228, CiteScore: 1)
Annals of Hematology     Hybrid Journal   (Followers: 15, SJR: 1.043, CiteScore: 2)
Annals of Mathematics and Artificial Intelligence     Hybrid Journal   (Followers: 13, SJR: 0.413, CiteScore: 1)
Annals of Microbiology     Hybrid Journal   (Followers: 11, SJR: 0.479, CiteScore: 2)
Annals of Nuclear Medicine     Hybrid Journal   (Followers: 4, SJR: 0.687, CiteScore: 2)
Annals of Operations Research     Hybrid Journal   (Followers: 10, SJR: 0.943, CiteScore: 2)
Annals of Ophthalmology     Hybrid Journal   (Followers: 12)
Annals of Regional Science     Hybrid Journal   (Followers: 7, SJR: 0.614, CiteScore: 1)
Annals of Software Engineering     Hybrid Journal   (Followers: 13)
Annals of Solid and Structural Mechanics     Hybrid Journal   (Followers: 9, SJR: 0.239, CiteScore: 1)
Annals of Surgical Oncology     Hybrid Journal   (Followers: 13, SJR: 1.986, CiteScore: 4)
Annals of Telecommunications     Hybrid Journal   (Followers: 9, SJR: 0.223, CiteScore: 1)
Annals of the Institute of Statistical Mathematics     Hybrid Journal   (Followers: 1, SJR: 1.495, CiteScore: 1)
Antonie van Leeuwenhoek     Hybrid Journal   (Followers: 5, SJR: 0.834, CiteScore: 2)
Apidologie     Hybrid Journal   (Followers: 4, SJR: 1.22, CiteScore: 3)
APOPTOSIS     Hybrid Journal   (Followers: 8, SJR: 1.424, CiteScore: 4)
Applicable Algebra in Engineering, Communication and Computing     Hybrid Journal   (Followers: 2, SJR: 0.294, CiteScore: 1)
Applications of Mathematics     Hybrid Journal   (Followers: 2, SJR: 0.602, CiteScore: 1)
Applied Biochemistry and Biotechnology     Hybrid Journal   (Followers: 43, SJR: 0.571, CiteScore: 2)
Applied Biochemistry and Microbiology     Hybrid Journal   (Followers: 17, SJR: 0.21, CiteScore: 1)
Applied Cancer Research     Open Access  
Applied Categorical Structures     Hybrid Journal   (Followers: 2, SJR: 0.49, CiteScore: 0)
Applied Composite Materials     Hybrid Journal   (Followers: 49, SJR: 0.58, CiteScore: 2)
Applied Entomology and Zoology     Partially Free   (Followers: 4, SJR: 0.422, CiteScore: 1)
Applied Geomatics     Hybrid Journal   (Followers: 3, SJR: 0.733, CiteScore: 3)
Applied Geophysics     Hybrid Journal   (Followers: 8, SJR: 0.488, CiteScore: 1)
Applied Intelligence     Hybrid Journal   (Followers: 12, SJR: 0.6, CiteScore: 2)
Applied Magnetic Resonance     Hybrid Journal   (Followers: 4, SJR: 0.319, CiteScore: 1)
Applied Mathematics & Optimization     Hybrid Journal   (Followers: 9, SJR: 0.886, CiteScore: 1)
Applied Mathematics - A J. of Chinese Universities     Hybrid Journal   (SJR: 0.17, CiteScore: 0)
Applied Mathematics and Mechanics     Hybrid Journal   (Followers: 5, SJR: 0.461, CiteScore: 1)
Applied Microbiology and Biotechnology     Hybrid Journal   (Followers: 65, SJR: 1.182, CiteScore: 4)
Applied Physics A     Hybrid Journal   (Followers: 10, SJR: 0.481, CiteScore: 2)
Applied Physics B: Lasers and Optics     Hybrid Journal   (Followers: 24, SJR: 0.74, CiteScore: 2)
Applied Psychophysiology and Biofeedback     Hybrid Journal   (Followers: 8, SJR: 0.519, CiteScore: 2)
Applied Research in Quality of Life     Hybrid Journal   (Followers: 12, SJR: 0.316, CiteScore: 1)
Applied Solar Energy     Hybrid Journal   (Followers: 18, SJR: 0.225, CiteScore: 0)
Applied Spatial Analysis and Policy     Hybrid Journal   (Followers: 5, SJR: 0.542, CiteScore: 1)
Aquaculture Intl.     Hybrid Journal   (Followers: 24, SJR: 0.591, CiteScore: 2)
Aquarium Sciences and Conservation     Hybrid Journal   (Followers: 2)
Aquatic Ecology     Hybrid Journal   (Followers: 34, SJR: 0.656, CiteScore: 2)
Aquatic Geochemistry     Hybrid Journal   (Followers: 4, SJR: 0.591, CiteScore: 1)
Aquatic Sciences     Hybrid Journal   (Followers: 13, SJR: 1.109, CiteScore: 3)
Arabian J. for Science and Engineering     Hybrid Journal   (Followers: 5, SJR: 0.303, CiteScore: 1)
Arabian J. of Geosciences     Hybrid Journal   (Followers: 2, SJR: 0.319, CiteScore: 1)
Archaeological and Anthropological Sciences     Hybrid Journal   (Followers: 21, SJR: 1.052, CiteScore: 2)
Archaeologies     Hybrid Journal   (Followers: 12, SJR: 0.224, CiteScore: 0)
Archiv der Mathematik     Hybrid Journal   (Followers: 1, SJR: 0.725, CiteScore: 1)
Archival Science     Hybrid Journal   (Followers: 62, SJR: 0.745, CiteScore: 2)
Archive for History of Exact Sciences     Hybrid Journal   (Followers: 7, SJR: 0.186, CiteScore: 1)
Archive for Mathematical Logic     Hybrid Journal   (Followers: 3, SJR: 0.909, CiteScore: 1)
Archive for Rational Mechanics and Analysis     Hybrid Journal   (SJR: 3.93, CiteScore: 3)
Archive of Applied Mechanics     Hybrid Journal   (Followers: 5, SJR: 0.79, CiteScore: 2)
Archives and Museum Informatics     Hybrid Journal   (Followers: 143, SJR: 0.101, CiteScore: 0)
Archives of Computational Methods in Engineering     Hybrid Journal   (Followers: 5, SJR: 1.41, CiteScore: 5)
Archives of Dermatological Research     Hybrid Journal   (Followers: 7, SJR: 1.006, CiteScore: 2)
Archives of Environmental Contamination and Toxicology     Hybrid Journal   (Followers: 14, SJR: 0.773, CiteScore: 2)
Archives of Gynecology and Obstetrics     Hybrid Journal   (Followers: 16, SJR: 0.956, CiteScore: 2)
Archives of Microbiology     Hybrid Journal   (Followers: 8, SJR: 0.644, CiteScore: 2)
Archives of Orthopaedic and Trauma Surgery     Hybrid Journal   (Followers: 8, SJR: 1.146, CiteScore: 2)
Archives of Osteoporosis     Hybrid Journal   (Followers: 2, SJR: 0.71, CiteScore: 2)
Archives of Sexual Behavior     Hybrid Journal   (Followers: 10, SJR: 1.493, CiteScore: 3)
Archives of Toxicology     Hybrid Journal   (Followers: 17, SJR: 1.541, CiteScore: 5)
Archives of Virology     Hybrid Journal   (Followers: 5, SJR: 0.973, CiteScore: 2)
Archives of Women's Mental Health     Hybrid Journal   (Followers: 14, SJR: 1.274, CiteScore: 3)
Archivio di Ortopedia e Reumatologia     Hybrid Journal  
Archivum Immunologiae et Therapiae Experimentalis     Hybrid Journal   (Followers: 2, SJR: 0.946, CiteScore: 3)
ArgoSpine News & J.     Hybrid Journal  
Argumentation     Hybrid Journal   (Followers: 6, SJR: 0.349, CiteScore: 1)
Arid Ecosystems     Hybrid Journal   (Followers: 2, SJR: 0.2, CiteScore: 0)
Arkiv för Matematik     Hybrid Journal   (Followers: 1, SJR: 0.766, CiteScore: 1)
Arnold Mathematical J.     Hybrid Journal   (Followers: 1, SJR: 0.355, CiteScore: 0)
Arthropod-Plant Interactions     Hybrid Journal   (Followers: 2, SJR: 0.839, CiteScore: 2)
Arthroskopie     Hybrid Journal   (Followers: 1, SJR: 0.131, CiteScore: 0)
Artificial Intelligence and Law     Hybrid Journal   (Followers: 11, SJR: 0.937, CiteScore: 2)
Artificial Intelligence Review     Hybrid Journal   (Followers: 16, SJR: 0.833, CiteScore: 4)
Artificial Life and Robotics     Hybrid Journal   (Followers: 9, SJR: 0.226, CiteScore: 0)
Asia Europe J.     Hybrid Journal   (Followers: 5, SJR: 0.504, CiteScore: 1)
Asia Pacific Education Review     Hybrid Journal   (Followers: 12, SJR: 0.479, CiteScore: 1)
Asia Pacific J. of Management     Hybrid Journal   (Followers: 16, SJR: 1.185, CiteScore: 2)
Asia-Pacific Education Researcher     Hybrid Journal   (Followers: 12, SJR: 0.353, CiteScore: 1)
Asia-Pacific Financial Markets     Hybrid Journal   (Followers: 2, SJR: 0.187, CiteScore: 0)
Asia-Pacific J. of Atmospheric Sciences     Hybrid Journal   (Followers: 19, SJR: 0.855, CiteScore: 1)
Asian Business & Management     Hybrid Journal   (Followers: 9, SJR: 0.378, CiteScore: 1)
Asian J. of Business Ethics     Hybrid Journal   (Followers: 9)
Asian J. of Criminology     Hybrid Journal   (Followers: 6, SJR: 0.543, CiteScore: 1)
AStA Advances in Statistical Analysis     Hybrid Journal   (Followers: 3, SJR: 0.548, CiteScore: 1)
AStA Wirtschafts- und Sozialstatistisches Archiv     Hybrid Journal   (Followers: 5, SJR: 0.183, CiteScore: 0)
ästhetische dermatologie & kosmetologie     Full-text available via subscription  

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Journal Cover
3D Research
Journal Prestige (SJR): 0.222
Citation Impact (citeScore): 1
Number of Followers: 21  
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Online) 2092-6731
Published by Springer-Verlag Homepage  [2351 journals]
  • Non-linear Cryptosystem for Image Encryption Using Radial Hilbert Mask in
           Fractional Fourier Transform Domain
    • Authors: Priyanka Maan; Hukum Singh
      Abstract: An asymmetric image encryption scheme has been proposed in the fractional Fourier transform (FRT) domain, using a radial Hilbert mask in the input plane and a random phase mask based in the frequency plane. The use of a radial Hilbert mask provides an addition of extra encryption parameter along with the asymmetric scheme which is non-linear where the encryption and decryption keys are different. The encrypted image resulting from the application of FRT is attenuated by a factor and combined with the asymmetric scheme to provide an encrypted image. The decryption process is the reverse of the encryption. The designed scheme has been implemented digitally using MATLAB R2014a ( By analysing the decryption results using input images the strength and efficacy of the proposed scheme has been established. The performance assessment of the method has been evaluated in terms of peak signal-to-noise ratio, mean-squared-error (MSE). The proposed scheme provides increased security.
      PubDate: 2018-10-19
      DOI: 10.1007/s13319-018-0205-8
      Issue No: Vol. 9, No. 4 (2018)
  • Feature Matching Improvement through Merging Features for Remote Sensing
    • Authors: Shahid Karim; Ye Zhang; Ali Anwar Brohi; Muhammad Rizwan Asif
      Abstract: Feature matching is the core stage for object recognition, tracking and several applications of computer vision. Low resolution images have various limitations with respect to spatial, spectral, pixel and temporal information which reduces the performance of image processing approaches. We have combined SURF features with FAST and BRISK features individually in order to provide an optimal solution for feature matching. Furthermore, feature matching has exploited through combined features and compared the performance with state-of-the-art methods. Lastly, RANSAC and MSAC were utilized to eliminate the wrong matches to get optimal feature matches. The experimental results show that the combination of FAST–SURF and BRISK–SURF perform feature matching optimally according to the number of feature matches and estimated time.
      PubDate: 2018-10-17
      DOI: 10.1007/s13319-018-0203-x
      Issue No: Vol. 9, No. 4 (2018)
  • A Self-Supervised Learning Method for Shadow Detection in Remote Sensing
    • Authors: Shoulin Yin; Jie Liu; Hang Li
      Abstract: Recent research progress in shadow detection has leveraged the development of remote sensing and computer vision. Since shadows of buildings, trees, bridges in one image can provide useful information about the scene to help people understand the shape, feature or estimate their locations and orientations of original objects, especially for damaged objects. In this study, a novel shadow detection algorithm for remote sensing imagery, called self-supervised learning method is proposed. The aim of this work is to generate shadow ratio threshold automatically without human interaction. To alleviate the traditional drawbacks of shadow detection, we fully combine supervised and unsupervised shadow detection method to suggest a self-supervised learning method, which supports us a strongly clue with establishing the relation of shadow and its original object. Subsequently, we benefit from gray-scale histogram to extract shadow segments, then shadow outlines are obtained. Finally, we assess the shadow detection performance of the proposed approach by comparing our results with the state-of-the-art methods. The results reveal the applicability and precision of the proposed self-supervised learning shadow detection technique.
      PubDate: 2018-10-17
      DOI: 10.1007/s13319-018-0204-9
      Issue No: Vol. 9, No. 4 (2018)
  • Contrast Enhancement Technique Based on Lifting Wavelet Transform
    • Authors: Megha Goyal; Bharat Bhushan; Shailender Gupta; Rashmi Chawla
      Abstract: Contrast enhancement is an indispensable process for improving the subjective quality and information content of an image. Adjustment in the relative brightness and darkness of an image is done in order to attain the same. This paper employs lifting wavelet transform (LWT) to enhance the image since it is computationally inexpensive. The application of LWT results in the low and high frequency components. The former components that contain most of the information are enhanced using CLAHE algorithm while the latter are kept unchanged. In addition, a weighted average matrix which controls the level of enhancement is used to acquire the enhanced output image. To measure the efficacy, the proposed technique is implemented in MATLAB-2013 and evaluated on the basis of several performance metrics such as: absolute mean brightness error, average information content, Contrast Improvement Index, degree of entropy unpreserved, Structural Similarity Index, Universal Quality Index. From experiment, it can be observed that the results obtained from proposed algorithm are better than or comparable to other popular techniques in literature in almost all the parameters undertaken.
      PubDate: 2018-10-12
      DOI: 10.1007/s13319-018-0201-z
      Issue No: Vol. 9, No. 4 (2018)
  • Multi-objective Optimization of Permanent Magnet Adjustable Speed Driver
           Base on RSM Model and NSGA-II
    • Authors: Xinquan Yin; Yaping Zhang; Jun Wang
      Abstract: To optimise the structure of a permanent magnet adjustable speed driver (PMASD), a multi-objective optimization design method for increasing the output torque and reducing the eddy current loss was proposed. Firstly, the three-dimensional finite element method model of a PMASD was established, the influence of the main configuration parameters in the PMASD on the output torque and the eddy current loss was analyzed, and the reasonable range of the parameters was determined. When taking the minimal eddy current loss and maximum output torque as the optimal objectives, the secondary response surface numerical model equation was built using the Central Composite Design experimental method and the Response Surface Methodology. Then, while ensuring that the output torque of the PMASD is not less than the rated torque, the NSGA-II was used to perform multi-objective optimization based on the response surface model and the Pareto optimal solution sets for two objectives was obtained. Finally, the minimal eddy current loss model and maximum output torque model were selected to compare with the initial model that was not optimized. The simulation results proved that the output torque of the minimal eddy current loss model increased by 6.54% based on the reduction of eddy current loss by 0.81% and the output torque of the maximum output torque model increased by 24.41% based on an increase in eddy current loss of 10.51%: the performance of both optimization models had been improved significantly. The optimization results show that this method improves the transmission performance of the PMASD.
      PubDate: 2018-10-11
      DOI: 10.1007/s13319-018-0202-y
      Issue No: Vol. 9, No. 4 (2018)
  • Offline Handwritten Signature Verification Using Cylindrical Shape Context
    • Authors: Pradeep N. Narwade; Rajendra R. Sawant; Sanjiv V. Bonde
      Abstract: Offline handwritten signatures is a convincing evidence form of biometrics for verification. However, the verification of offline handwritten signatures is challenging task because of the variations in handwritten signatures. To address this difficulty, this paper proposes a new approach to represent the shape. In this newly proposed approach, the signature pixels are represented by: (1) Gaussian Weighting Based Tangent Angle, to represent the curve angle at the reference pixel; (2) a new shape descriptor, i.e. cylindrical shape context is proposed for a detailed and accurate description of the curve at corresponding pixel. Experimental results show that desired pixel matching results are obtained by using cylindrical shape context which automatically increases the accuracy of verification of offline handwritten signatures. The shape dissimilarity measures are computed and given to the Support Vector Machine with Radial Basis Function (RBF) kernel for classification of signature. The results obtained using GPDS synthetic signature database, UTSig persian offline signature database, and MCYT-75 offline signature database shows the effectiveness of proposed cylindrical shape context.
      PubDate: 2018-10-11
      DOI: 10.1007/s13319-018-0200-0
      Issue No: Vol. 9, No. 4 (2018)
  • Metaheuristic Techniques for Detection of Optic Disc in Retinal Fundus
    • Authors: Jyotika Pruthi; Shaveta Arora; Kavita Khanna
      Abstract: Eye diseases like glaucoma and diabetic retinopathy are known to be the thieves of eye-sight that are responsible for causing the vision loss worldwide. Automatic detection of such diseases with the help of the digital color fundus photography helps in early diagnosis and treatment. From the fundus images, optic disc is required to be analyzed to diagnose the disease. In this paper, a technique has been proposed for locating optic disc through metaheuristic techniques namely Ant Colony Optimization algorithm, Bacterial Foraging Optimization, Firefly algorithm, Cuckoo Search algorithm and Krill Herd algorithm. A comparison has been made amongst all of them and also with existing disc detection techniques. The bacterial foraging algorithm has shown the best results as it has obtained 99.55% accuracy with DiaRetDB1 database, 100% accuracy with HEI-MED database, 100% with DRIVE database and 98% with STARE database.
      PubDate: 2018-10-01
      DOI: 10.1007/s13319-018-0198-3
      Issue No: Vol. 9, No. 4 (2018)
  • Modeling and Optimization of Tool Wear and Surface Roughness in Turning of
           Al/SiCp Using Response Surface Methodology
    • Authors: Rashid Ali Laghari; Jianguang Li; Zhengyou Xie; Shu-qi Wang
      Abstract: Nowadays metal matrix composites are widely utilized in major industries such as aerospace and automotive because of their excellent properties in association with non-reinforced. This research work is attempted to analyze the consequence of cutting parameters on tool life and surface quality. The experimental work is consist of turning Al/SiCp (45%SiCp) weight with uncoated Carbide tools and the effect of three machining parameters including depth of cut, feed, and speed. Tool life and surface roughness have considered as process response for investigation. The predictive model has been developing to optimize the machining parameters in accordance to Box–Behnken design in Minitab 17, the contour plots the surface plot and response optimizer have made to study the influence of machining parameters and their interactions. ANOVA was carried out to identify the key factor affecting the tool life and surface roughness. The maximum tool life is 10.511 (min) and least surface roughness was observed 0.044 μm. The abrasion and adhesive have the principle wear mechanism observed in machining process. Response surface methodology (RSM) approach have used to optimize the machining parameters, and the RSM model found more than 95% confidence level.
      PubDate: 2018-09-24
      DOI: 10.1007/s13319-018-0199-2
      Issue No: Vol. 9, No. 4 (2018)
  • Improvement of Large-Vehicle Detection and Monitoring on CPEC Route
    • Authors: Muhammad Ibrar; Jianing Mi; Shahid Karim; Asif Ali Laghari; Shakir Muhammad Shaikh; Vishal Kumar
      Abstract: Satellite imagery is being used to monitor agriculture fields, vehicle detection, surveillance and remote sensing. In this paper, we proposed large-vehicle detection to monitor the status on route of China Pakistan economic corridor (CPEC). In the present experiments, the region of interests extracted from more than thousand images through different angles to train machine for large-vehicle detection using RCNN, Fast-RCNN, Faster-RCCN and Cascade methods. The training images were enhanced through contrast change and image sharpening to avoid errors during detection of vehicles on route. Results show that the proposed method is promising for large-vehicle detection on CPEC route. The Faster-RCNN is more promising due to fast computational speed with high precision and recall rate. Furthermore, the developed dataset is also useful for future CPEC applications such as large-vehicles/trucks tracking, detection and identification. Graphical
      PubDate: 2018-09-03
      DOI: 10.1007/s13319-018-0196-5
      Issue No: Vol. 9, No. 3 (2018)
  • An Effective DOS Attack Detection Model in Cloud Using Artificial Bee
           Colony Optimization
    • Authors: Jitendra Kumar Seth; Satish Chandra
      Abstract: Denial of service (DOS) attack is a serious threat in the cloud which causes unavailability of cloud services to genuine users. Firewalls alone are not able to detect DOS attack because of the dynamic nature of the attack and masked identity. This paper proposes a cloud-based DOS attack detection model (CDOSD) which is setup through key feature selection using a new binary version of Artificial bee colony optimization (BABCO) and decision tree (DT) classifier. The DT classifier is utilized because it has superior learning speed than other classification algorithms and BABCO is used for feature selection from the dataset. The real-time DOS attack tools are used to perform the attacks on cloud host. It has been observed that the CDOSD detects DOS attack on cloud host with high accuracy and a very low false positive rate. The features of the dataset are significantly reduced by BABCO which provides a low dimension of computation space for training and classification. The proposed scheme is also compared with the other existing models and found superior in performance. The proposed methodology may help the cloud service providers to design more secure cloud environment. Graphical
      PubDate: 2018-09-03
      DOI: 10.1007/s13319-018-0195-6
      Issue No: Vol. 9, No. 3 (2018)
  • Symmetric Cryptosystem Based on Chaos Structured Phase Masks and Equal
           Modulus Decomposition Using Fractional Fourier Transform
    • Authors: R. Girija; Hukum Singh
      Abstract: Chaotic structured phase masks (CSPM), equal modulus decomposition (EMD) and fractional Fourier transform are potentially proposed to design the effective symmetric cryptosystem. The encryption and decryption process of our proposed system is completely established by using double random phase encoding (DRPE) in fractional Fourier domain. Frequently, random phase mask (RPM) are used routinely as secret key in most of the DRPE schemes. Nevertheless, RPM are not optimally robust against many attacks. Henceforth, this method utilises chaotic structured phase masks in the place of random phase masks (RPM). CSPM are assembled with the help of logistic map, Fresnel zone plates (FZP) and radial Hilbert mask (RHM) functions. To design an effectual trap door one-way function, equal modulus decomposition (EMD) is performed for encryption and decryption procedure of our cryptosystem. Various asymmetric cryptosystem was designed for EMD; but constructing EMD effectively in symmetric cryptosystem based on chaos structured phase masks and fractional Fourier transform is considered as a novel work and it is employed. As a result, the proposed symmetric cryptosystem attains high robust and withstand many attacks. Numerical simulations are exhibited in order to validate our system and support the fact that our EMD and CSPM based cryptosystem is extremely suitable for securing images.
      PubDate: 2018-08-25
      DOI: 10.1007/s13319-018-0192-9
      Issue No: Vol. 9, No. 3 (2018)
  • 3D Point Cloud Initial Registration Using Surface Curvature and SURF
    • Authors: Lijing Tong; Xiang Ying
      Abstract: Initial registration of the 3D point clouds affects the final reconstruction result directly. However, some of the current point cloud initial registration methods are mainly based on the spatial distribution characteristics of the point clouds, which have the problems of large calculation, low accuracy of registration, and so on. In this paper, a new initial registration method based on the combination of texture features and curvature features is proposed to improve the speed and accuracy of the initial registration. First, the texture information of the point cloud model is projected onto a two-dimensional space to obtain its projection image. Then, the matched point pairs of the projection image are extracted using the SURF operator. Next, the curvature information of the matched point pairs is calculated, and only the point pairs with higher similarity are reserved. Finally, the transformed matrix is calculated using the reserved point pairs to achieve the initial registration. Experimental results show that the proposed method can implement the initial registration quickly and accurately. Graphical
      PubDate: 2018-08-22
      DOI: 10.1007/s13319-018-0193-8
      Issue No: Vol. 9, No. 3 (2018)
  • Pixel Overlapping Image Steganography Using PVD and Modulus Function
    • Authors: Aditya Kumar Sahu; Gandharba Swain
      Abstract: This paper proposes an image steganography technique based on the principle of pixel overlapping to improve the embedding capacity (EC) and peak signal-to-noise ratio (PSNR). The proposed technique has two variants: (1) overlapped pixel value differencing with modulus function (OPVDMF), and (2) overlapped pixel value differencing (OPVD). Both the variants operate on pixel blocks of size 1 × 5. The OPVDMF uses the difference between the first four pixels with the 5th pixel for data embedding. Again the pixel adjustment is done to minimize the distortion. The OPVD method divides the block into four sub-blocks with 1st and 5th, 5th and 2nd, 3rd and 5th, 5th and 4th pixels. The proposed technique has been compared with the existing techniques in terms of PSNR, EC, bits per pixel, and execution time. Further, the security of the proposed technique has been verified using RS analysis. Graphical
      PubDate: 2018-08-18
      DOI: 10.1007/s13319-018-0188-5
      Issue No: Vol. 9, No. 3 (2018)
  • Impact of Video File Format on Quality of Experience (QoE) of Multimedia
    • Authors: Asif Ali Laghari; Hui He; Asiya Khan; Sajida Karim
      Abstract: Video file formats are used to record, play and store videos according to heterogeneous platforms; devices and online streaming on networks vary by speed. Video formats are different codecs and resolution from each other and also vary in display quality and storage size which also differentiate the quality of experience (QoE) of users. This paper presents the subjective QoE of end user’s for different video file format varied according to resolution quality and bitrate. Videos of most popular formats which are used for online streaming was downloaded from YouTube and stored on the local system for play for subjects to perceive the video quality. Subjective QoE experiments were conducted by questionnaires given to subjects to perceive video quality and assign ratings. Results show high ratings for FLV 240P and WebM 360P for low resolution videos where high ratings for the MP4 video for 720P and 2160P high resolutions. Graphical
      PubDate: 2018-08-17
      DOI: 10.1007/s13319-018-0191-x
      Issue No: Vol. 9, No. 3 (2018)
  • Asymmetric Optical Image Triple Masking Encryption Based on Gyrator and
           Fresnel Transforms to Remove Silhouette Problem
    • Authors: Mehak Khurana; Hukum Singh
      Abstract: An asymmetric scheme based on equal modulus decomposition (EMD) and singular value decomposition (SVD) encrypted using Fresnel and gyrator transform is proposed to enhance the security of the system and to make it free from silhouette problem. In this technique, it uses triple masking technique where double masking is done through random phase mask (diffusers) and the third masking is done through EMD using \(\theta\) . After the triple masking the distorted obtained image is decomposed into segments (U, S, V) using SVD and each decomposed encrypted segment is transmitted through different channels and kept at different locations. The extra degree of freedom (keys) provided by triple making technique increases the key space hereby enhances the optical encryption security that makes it difficult for an attacker to find the exact key to recover an original image. It also makes it highly resistant to many conventional and iterative attacks. The robustness of the asymmetric proposed cryptosystem has been examined by simulating on MATLAB 8.3.0 (R2014a). The experimental results are provided to highlight the effectiveness, robustness and suitability of the proposed cryptosystem and to prove the feasibility and validity of the proposal.
      PubDate: 2018-08-17
      DOI: 10.1007/s13319-018-0190-y
      Issue No: Vol. 9, No. 3 (2018)
  • Detection of Choroidal Neovascularization Through Characterization of
           Changes in Anterior and Posterior Eye Segments
    • Authors: G. Anitha; Mohamed Ismail
      Abstract: Choroidal neovascularization (CNV) is an age related eye disease caused due to the growth of new blood vessels beneath the retina which leads to vision loss. This is identified by analyzing the changes in the anterior segment such as filtration angle, which is one of the important parameters in ophthalmology and analyzing the posterior segment of the retinal image such as thickness of fusiform and commotion of blood vessels in Retinal Pigment Epithelium layer. Using image processing techniques, the Optical Coherence Tomography images of anterior and posterior eye segments are analyzed and the factors such as Angle opening distance, Euler number, thickness, angle of elevation and its maximum thickness value (in pixels) of the image are obtained. It is observed that there is a vast change in the above factors during CNV and thus it is possible to get knowledge whether the particular person is suffering from the disease or not. The factors obtained are fed to Neural Classifier which is used to show whether the person is in the starting stage or final stage of the disease. Graphical
      PubDate: 2018-08-11
      DOI: 10.1007/s13319-018-0189-4
      Issue No: Vol. 9, No. 3 (2018)
  • Mixed Finite Element Approximation for Bivariate Perona–Malik Model
           Arising in 2D and 3D Image Denoising
    • Authors: Amal Hjouji; Mostafa Jourhmane; Jaouad EL-Mekkaoui; Mohammed Es-sabry
      Abstract: In this paper, we present a new model of nonlinear diffusion arising in image processing field based on the Perona–Malik equation which we call the bivariate Perona–Malik model. The aim of this model is to remove image noise while preserving edges, boundaries, and textures. To solve this model we use a new algorithm based on mixed finite element method. In this context we prove mathematically the existence and uniqueness of the solution of the proposed model in a well chosen space. At last, we present the experimental results in 2D and 3D images filtering, which demonstrate the efficiency and effectiveness of our algorithm and finally, we compare it with other well known methods such as the finite difference method presented by Perona et al. (IEEE Trans Pattern Anal Mach Intell 12:629–639, 1990), the finite element method and the finite volume method studied by Handlovičová et al. (J Vis Commun Image Represent 13:217–237, 2002).
      PubDate: 2018-08-02
      DOI: 10.1007/s13319-018-0187-6
      Issue No: Vol. 9, No. 3 (2018)
  • A Mamdani Fuzzy Logic System to Enhance Solar Cell Micro-Cracks Image
    • Authors: Rashmi Chawla; Poonam Singal; Amit Kumar Garg
      Abstract: Micro-cracks in solar Photo-Voltaic Cells (PVCs) can be formed in the vicinity of PVC/wafer manufacturing process or by thermal stress produced in transportation/handling or by inclement weather condition. Its insight is must as it reduces the efficiency of PVCs, enfeeble the cell constitution as well as affect the net manufactured production yield resulting in increase in production cost. The detection of these micro-cracks is strenuous owing to wafer’s heterogeneous textured base and involves two steps; first visualization of micro-cracks to imaging device, second efficient image processing technique to extract these micro-cracks from the captured image. In this paper Mamdani Fuzzy logic is proposed for extracting micro-cracks from solar PVCs images and comparison of performance analysis is done using MATLAB. The results show that using the proposed strategy, micro cracks visibility is much more prominent than its counterparts present in literature. To access local and remote output current data of solar panel the Internet of Things accreditation is done using Arduino and WiFi module.
      PubDate: 2018-07-27
      DOI: 10.1007/s13319-018-0186-7
      Issue No: Vol. 9, No. 3 (2018)
  • Automatic Depth Prediction from 2D Videos Based on Non-parametric Learning
           and Bi-directional Depth Propagation
    • Authors: Huihui Xu; Mingyan Jiang
      Abstract: With progress in 3D video technology, 2D to 3D conversion has drawn great attention in recent years. Predicting perceptually reasonable depth information from traditional monocular videos is a challenging task in 2D to 3D conversion. For the purpose of generating convincing depth maps, an efficient depth estimation algorithm utilizing non-parametric learning and bi-directional depth propagation is proposed. First, global depth maps on key frames are generated on the basis of gradient samples and the gradient reconstruction method. Then, foreground objects are extracted and employed to refine global depth maps for producing more local depth details. Next, the depth information of key frames is propagated utilizing bi-directional motion compensation to recover the forward and backward depth information of non-key frames. In the end, a weighting fusion strategy is designed to integrate forward and backward depths for predicting the depth information of each non-key frame. The quality of estimated depth maps is assessed by leveraging objective and subjective quality evaluation criteria. The experimental results verify that the proposed depth prediction framework outperforms some depth estimation methods and is efficient at producing 3D views.
      PubDate: 2018-07-27
      DOI: 10.1007/s13319-018-0184-9
      Issue No: Vol. 9, No. 3 (2018)
  • Watermarking Techniques for Three Dimensional (3D) Mesh Authentication in
           Spatial Domain
    • Abstract: Due to lightning growth in multimedia processing technologies and frequent usage of Internet, media contents often get exposed to malicious interventions. Hence it is very important to verify the authenticity and integrity of the digital contents by using proper security mechanisms. Thanks to the advancement in computer graphics processing technologies due to which higher dimensional rendering of real life objects has become apparent. Lately, three dimensional (3D) representations are more preferred in different application domains for better visualization and understanding. While talking about security related to 3D models, digital watermarking has come out to be an effective and prominent solution among various other authentication mechanisms. The purpose of this study is to present an in-depth review and investigation of the authentication based watermarking techniques for 3D models in spatial domain. The methods are classified based on various attributes that effect the design and working of an authentication protocol. The study also discusses different types of geometrical attacks that may occur to a 3D model and methodologies that help in detecting and locating the attacks. The paper concludes with a set of remarks and some of the research issues and challenges which are needed to be studied further.
      PubDate: 2018-08-28
      DOI: 10.1007/s13319-018-0194-7
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