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  Subjects -> ELECTRONICS (Total: 138 journals)
Advances in Biosensors and Bioelectronics     Open Access   (Followers: 1)
Advances in Magnetic and Optical Resonance     Full-text available via subscription   (Followers: 4)
Advances in Microelectronic Engineering     Open Access   (Followers: 1)
Advances in Power Electronics     Open Access   (Followers: 7)
Aerospace and Electronic Systems, IEEE Transactions on     Hybrid Journal   (Followers: 50)
American Journal of Electrical and Electronic Engineering     Open Access   (Followers: 7)
Annals of Telecommunications     Hybrid Journal   (Followers: 4)
APL : Organic Electronics and Photonics     Hybrid Journal   (Followers: 1)
APSIPA Transactions on Signal and Information Processing     Open Access   (Followers: 2)
Archives of Electrical Engineering     Open Access   (Followers: 8)
Autonomous Mental Development, IEEE Transactions on     Hybrid Journal   (Followers: 5)
Bell Labs Technical Journal     Hybrid Journal   (Followers: 8)
Biomedical Engineering, IEEE Reviews in     Full-text available via subscription   (Followers: 14)
Biomedical Engineering, IEEE Transactions on     Hybrid Journal   (Followers: 11)
Biomedical Instrumentation & Technology     Full-text available via subscription   (Followers: 4)
Broadcasting, IEEE Transactions on     Hybrid Journal   (Followers: 5)
BULLETIN of National Technical University of Ukraine. Series RADIOTECHNIQUE. RADIOAPPARATUS BUILDING     Open Access   (Followers: 1)
Bulletin of the Polish Academy of Sciences : Technical Sciences     Open Access  
Canadian Journal of Remote Sensing     Full-text available via subscription   (Followers: 12)
China Communications     Full-text available via subscription   (Followers: 1)
Circuits and Systems     Open Access   (Followers: 7)
Consumer Electronics Times     Open Access   (Followers: 3)
Control Systems     Hybrid Journal   (Followers: 18)
Electronic Markets     Hybrid Journal   (Followers: 5)
Electronic Materials Letters     Hybrid Journal   (Followers: 2)
Electronics     Open Access   (Followers: 3)
Electronics and Communications in Japan     Hybrid Journal   (Followers: 4)
Electronics Letters     Hybrid Journal   (Followers: 15)
Embedded Systems Letters, IEEE     Hybrid Journal   (Followers: 14)
EURASIP Journal on Embedded Systems     Open Access   (Followers: 8)
Foundations and TrendsĀ® in Communications and Information Theory     Full-text available via subscription   (Followers: 5)
Foundations and TrendsĀ® in Signal Processing     Full-text available via subscription   (Followers: 4)
Frequenz     Full-text available via subscription   (Followers: 1)
Frontiers of Optoelectronics     Hybrid Journal   (Followers: 1)
Geoscience and Remote Sensing, IEEE Transactions on     Hybrid Journal   (Followers: 19)
Haptics, IEEE Transactions on     Hybrid Journal   (Followers: 4)
IEEE Consumer Electronics Magazine     Full-text available via subscription   (Followers: 7)
IEEE Journal of Emerging and Selected Topics in Power Electronics     Hybrid Journal   (Followers: 3)
IEEE Journal of the Electron Devices Society     Open Access   (Followers: 1)
IEEE Power Electronics Magazine     Full-text available via subscription  
IEEE Transactions on Audio, Speech, and Language Processing     Hybrid Journal   (Followers: 9)
IEEE Transactions on Automatic Control     Hybrid Journal   (Followers: 19)
IEEE Transactions on Consumer Electronics     Hybrid Journal   (Followers: 10)
IEEE Transactions on Electron Devices     Hybrid Journal   (Followers: 6)
IEEE Transactions on Information Theory     Hybrid Journal   (Followers: 13)
IEEE Transactions on Power Electronics     Hybrid Journal   (Followers: 11)
IEICE - Transactions on Electronics     Full-text available via subscription   (Followers: 7)
IEICE - Transactions on Information and Systems     Full-text available via subscription   (Followers: 7)
IET Power Electronics     Hybrid Journal   (Followers: 7)
IET Wireless Sensor Systems     Hybrid Journal   (Followers: 5)
IETE Journal of Education     Open Access   (Followers: 2)
IETE Journal of Research     Open Access   (Followers: 4)
IETE Technical Review     Open Access   (Followers: 1)
Industrial Electronics, IEEE Transactions on     Hybrid Journal   (Followers: 9)
Industry Applications, IEEE Transactions on     Hybrid Journal   (Followers: 5)
Informatik-Spektrum     Hybrid Journal  
Instabilities in Silicon Devices     Full-text available via subscription  
Intelligent Transportation Systems Magazine, IEEE     Full-text available via subscription   (Followers: 1)
International Journal of Advanced Electronics and Communication Systems     Open Access   (Followers: 3)
International Journal of Advanced Research in Computer Science and Electronics Engineering     Open Access   (Followers: 18)
International Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems     Open Access   (Followers: 1)
International Journal of Aerospace Innovations     Full-text available via subscription   (Followers: 10)
International Journal of Applied Electronics in Physics & Robotics     Open Access  
International Journal of Biomedical Nanoscience and Nanotechnology     Hybrid Journal   (Followers: 4)
International Journal of Computational Vision and Robotics     Hybrid Journal   (Followers: 4)
International Journal of Computer & Electronics Research     Full-text available via subscription   (Followers: 2)
International Journal of Control     Hybrid Journal   (Followers: 9)
International Journal of Electronics     Hybrid Journal   (Followers: 2)
International Journal of Electronics & Data Communication     Open Access   (Followers: 3)
International Journal of Electronics and Telecommunications     Open Access   (Followers: 3)
International Journal of Granular Computing, Rough Sets and Intelligent Systems     Hybrid Journal   (Followers: 1)
International Journal of High Speed Electronics and Systems     Hybrid Journal  
International Journal of Microwave and Wireless Technologies     Hybrid Journal   (Followers: 1)
International Journal of Nano Devices, Sensors and Systems     Open Access   (Followers: 1)
International Journal of Nanoscience     Hybrid Journal   (Followers: 1)
International Journal of Numerical Modelling:Electronic Networks, Devices and Fields     Hybrid Journal   (Followers: 2)
International Journal of Power Electronics     Hybrid Journal   (Followers: 3)
International Journal of Power Management Electronics     Open Access  
International Journal of Review in Electronics & Communication Engineering     Open Access   (Followers: 1)
International Journal of Sensors, Wireless Communications and Control     Hybrid Journal   (Followers: 2)
International Journal of Systems, Control and Communications     Hybrid Journal   (Followers: 2)
International Journal on Communication     Full-text available via subscription   (Followers: 7)
International Journal on Electrical and Power Engineering     Full-text available via subscription   (Followers: 11)
ISRN Electronics     Open Access   (Followers: 1)
ISRN Signal Processing     Open Access  
Journal of Advanced Dielectrics     Open Access   (Followers: 1)
Journal of Artificial Intelligence     Open Access   (Followers: 5)
Journal of Circuits, Systems, and Computers     Hybrid Journal   (Followers: 1)
Journal of Electrical and Electronics Engineering Research     Open Access   (Followers: 1)
Journal of Electrical Bioimpedance     Full-text available via subscription   (Followers: 2)
Journal of Electrical Engineering & Electronic Technology     Full-text available via subscription   (Followers: 1)
Journal of Electromagnetic Analysis and Applications     Open Access   (Followers: 2)
Journal of Electromagnetic Waves and Applications     Hybrid Journal   (Followers: 1)
Journal of Electronic Design Technology     Full-text available via subscription   (Followers: 1)
Journal of Electronics (China)     Hybrid Journal   (Followers: 2)
Journal of Field Robotics     Hybrid Journal   (Followers: 3)
Journal of Guidance, Control, and Dynamics     Full-text available via subscription   (Followers: 49)
Journal of Intelligent Procedures in Electrical Technology     Open Access  
Journal of Low Power Electronics     Full-text available via subscription   (Followers: 4)
Journal of Low Power Electronics and Applications     Open Access   (Followers: 1)

        1 2 | Last

Journal Cover International Journal of Computational Vision and Robotics
   [6 followers]  Follow    
   Hybrid Journal Hybrid journal (It can contain Open Access articles)
     ISSN (Print) 1752-9131 - ISSN (Online) 1752-914X
     Published by Inderscience Publishers Homepage  [385 journals]
  • A speed invariant human identification system using gait biometrics
    • Authors: Soumabha Bhowmick, Anup Nandy, Pavan Chakraborty, G.C. Nandi
      Pages: 3 - 22
      Abstract: Can gait biometrics be used for identification of a person? We feel that each individual has an intrinsic gait behaviour, irrespective of the individual's gait speed. The challenge is to extract this gait behaviour from the gait biometrics. In this paper, we used a computer vision-based technique for gait identification. The silhouette treadmill gait database obtained from OU-ISIR, Japan has been used in this gait research work. We have used 22 subjects walking at different speeds varying from 2 km/hr to 6 km/hr with speed variation of 1 km/hr. The gait energy image (GEI) has been computed from this gait data. The width of GEI, along the horizontal axis, has been used as the feature vector for training and testing. These features show speed invariance but is intrinsic and unique to the subject. The feature captures the intrinsic hand movement, head node and leg oscillations of the subjects. A probabilistic model based on Bayes' conditional probability rule and connectionist model based on multilayer perceptron neural network have been used for classification. This technique provides a promising result of identifying a subject invariant of the gait speed.
      Keywords: human gait; gait cycle; gait energy image; GEI; Bayes conditional probability rule; OU-ISIR gait database; artificial neural networks; ANNs; multilayer perceptron; speed invariance; human identification; gait biometrics; gait behaviour; walking speeds; hand mo
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 1/2 (2014) pp. 3 - 22
      PubDate: 2014-02-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.059356
      Issue No: Vol. 4, No. 1/2 (2014)
       
  • Redundancy removal for isolated gesture in Indian sign language and
           recognition using multi-class support vector machine
    • Authors: Subhash Chand Agrawal, Anand Singh Jalal, Charul Bhatnagar
      Pages: 23 - 38
      Abstract: Sign language is a formal language used by the deaf and dumb people to communicate through bodily movement, especially of hands rather than speech. In this paper, we have presented a vision-based method for recognition of isolated sign considering static and dynamic behaviour of Indian sign language (ISL). The proposed methodology consists of three modules: preprocessing, feature extraction and classification. In the preprocessing module, various steps such as skin colour segmentation, redundant frames removal (RFR) algorithm and face elimination have been performed. The purpose of RFR algorithm is to remove redundant frames from the sign video to speed up the recognition task. In the feature extraction module, multiple features have been extracted. A multi-class support vector machine (MSVM) and Bayesian K-nearest neighbour (BKNN) are used to classify the signs. Experimentation with vocabulary of 21 sign from ISL is conducted and the results prove that the proposed method for recognition of gestured sign is effective and having high accuracy. Experimental results demonstrate that the proposed system can recognise signs with 95.3% accuracy.
      Keywords: Indian sign language; ISL; multi-class SVM; support vector machines; MSVM; skin colour segmentation; India; redundancy removal; isolated gestures; deaf and dumb; vision; sign recognition; preprocessing; feature extraction; sign classification; face elimination;
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 1/2 (2014) pp. 23 - 38
      PubDate: 2014-02-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.059361
      Issue No: Vol. 4, No. 1/2 (2014)
       
  • Obstacle avoidance for mobile robot navigation in unknown environment
           using geometrical information of mobile camera images
    • Authors: Prajjwal Prem Jamdagni, Karali Patra
      Pages: 39 - 54
      Abstract: In this paper, a novel and robust algorithm for avoiding obstacles in an unknown environment is proposed that utilises the geometrical analysis of the distances present in the images. A mobile camera with pan feature is used for increasing the field of view of the robot. Low level image properties (red green blue colour; hue saturation value colour and brightness gradient) are used for obstacle detection. Once the positions of the obstacles are determined in the image these are transformed into actual distances by the geometrical analysis and a safe passage is determined. The algorithm has been successfully implemented to avoid obstacle(s) during navigation of a mobile robot. It has been observed that the proposed algorithm increases the robustness of obstacle avoidance and helps in the effective path planning of an autonomous mobile robot.
      Keywords: mobile robots; robot navigation; obstacle avoidance; mobile cameras; image processing; geometrical analysis; obstacle detection; robot path planning; autonomous robots
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 1/2 (2014) pp. 39 - 54
      PubDate: 2014-02-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.059358
      Issue No: Vol. 4, No. 1/2 (2014)
       
  • Lapped transform-based image denoising with the generalised Gaussian
           prior
    • Authors: Vijay Kumar Nath, Deepika Hazarika, Anil Mahanta
      Pages: 55 - 74
      Abstract: We introduce a new image denoising method based on the statistical modelling of dyadic rearranged lapped transform (LT) coefficients. Based on Kolomogrov-Smirnov (KS) goodness of fit test, we have shown that the statistical distribution of the dyadic rearranged LT coefficients in a subband is best approximated by the generalised Gaussian distribution. A Bayesian minimum mean square error (MMSE) estimator is used to obtain the estimate of noise free coefficients, which is based on modelling the global distribution of the dyadic rearranged LT coefficients using generalised Gaussian distribution. The LT-based image denoising method with generalised Gaussian prior shows highly encouraging (both objective and subjective) results when compared to several well-known image denoising methods.
      Keywords: lapped transform; generalised Gaussian distribution; image denoising; Kolomogrov-Smirnov test; Bayesian MMSE estimator; minimum mean square error; statistical modelling
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 1/2 (2014) pp. 55 - 74
      PubDate: 2014-02-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.059365
      Issue No: Vol. 4, No. 1/2 (2014)
       
  • Efficient indexing techniques for record matching and deduplication
    • Authors: Anjali Goel, Rajesh Prasad
      Pages: 75 - 85
      Abstract: Record matching works on large sets of data, which may be either from single database or several databases. As size of database increases very rapidly, demand of matching process becomes too high. So, there is demand to minimise the number of matching pair records, time and cost in comparing records using efficient matching techniques. Recent researches have been done on record matching by number of researchers using various indexing techniques but as such they are not effective. Suffix array (SA) and q-gram are used indexing technique, but they lack somewhere in computation. This paper proposes two new indexing techniques: inverse suffix array (ISA) and Burrows-Wheeler transformation (BWT) to improve the performance of record matching process. The approach ISA can handle the multiple keywords simultaneously. We compare the performance of the proposed techniques with existing suffix array and q-gram indexing techniques and found that the new techniques are better than the earlier techniques.
      Keywords: Burrows-Wheeler transformation; BWT; inverse suffix array; ISA; record matching; efficient indexing; deduplication; multiple keywords
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 1/2 (2014) pp. 75 - 85
      PubDate: 2014-02-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.059362
      Issue No: Vol. 4, No. 1/2 (2014)
       
  • A genetic algorithm-based clustering and two-scan labelling for
           colour image segmentation
    • Authors: F.Z. Bellala, Feryel Souami
      Pages: 86 - 98
      Abstract: In this paper, we present a two-step segmentation method. The first consists of colour image quantisation by genetic algorithm-based clustering method. The second consists of connected component labelling (CCL) of quantised image. In the first step, we use real codification of chromosomes and a variable string length to adjust the number of colours of the reduced palette. We use a fitness function with a smallest number of parameters to improve run time. Once pixels are classified in 3D colour space, a two-scan CCL adapted to colour image is proposed and applied to the 2D image plan to get separate regions. To reduce regions number, small regions are grouped with the nearest surrounding regions according to their colour feature. Segmentation results are discussed in RGB and lab colour spaces.
      Keywords: clustering algorithms; colour quantisation; connected component labelling; CCL; FCM algorithm; genetic algorithms; image segmentation; colour images; image processing
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 1/2 (2014) pp. 86 - 98
      PubDate: 2014-02-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.059367
      Issue No: Vol. 4, No. 1/2 (2014)
       
  • A secure algorithm for biometric-based digital image watermarking in
           DCT domain
    • Authors: Malay Kishore Dutta, Anushikha Singh, K.M. Soni
      Pages: 99 - 114
      Abstract: This paper addresses the problem of ownership of digital watermark by inserting a biometric-based watermark in the digital host signal. The biometric-based digital watermark is made secure using an encryption technique using Arnold catmap before embedding. Biometric-based watermark is a potential solution of watermark ownership which can be physically or logically owned to prove ownership. This joint encryption and watermarking scheme has the potential of addressing the ownership of digital signals and keep the biometric data secure. Arnold transformation is used to encrypt the biometric data and discrete cosine transformation is used for embedding the watermark in the image. The watermarking method is chosen so that the data payload demand is met keeping the requirements of perceptual transparency and robustness. Experimental results of perceptual transparency indicates that the method maintains a good quality of transparency with a SNR more than 25 dB for the images. The proposed watermarking method is robust to signal processing attacks and the watermarks were identified using minutia feature point matching under these attacks. The overall design requirements of transparency, robustness and data payload are achieved optimally in this paper.
      Keywords: digital image watermarking; image encryption; Arnold transformation; digital rights management; robustness; perceptual transparency; biometrics; digital images; DCT; discrete cosine transformation; digital watermarks; cryptography; data security; watermark owners
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 1/2 (2014) pp. 99 - 114
      PubDate: 2014-02-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.059369
      Issue No: Vol. 4, No. 1/2 (2014)
       
  • Development of an electromyographic controlled biomimetic prosthetic hand
    • Authors: Nayan M. Kakoty, Shyamanta M. Hazarika
      Pages: 115 - 133
      Abstract: This paper presents the development of an electromyogram controlled extreme upper limb prosthetic hand prototype following a biomimetic approach. The biomimetic approach is followed to harmonise both physical and functional aspects of the human hand. The prototype with tendon driven fingers possesses 15 degrees of freedom. It can perform grasping operations involved during 70% of daily living activities. The control is in two stages: superior hand control (SHC) and local hand control (LHC). The SHC involves a grasp recognition module responsible for recognition of the grasp type indented by the user. The LHC involves a translation module responsible for emulating the identified grasp type into the prototype. The results obtained for finger joint trajectories during a precision grasp through the two stage control architecture in conformity to the human hand finger.
      Keywords: biomimetics; electromyograms; EMG; grasp types; prosthetic hands; tendon driven fingers; prosthetics; grasping operations; hand control; finger joint trajectories; biomedical engineering
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 1/2 (2014) pp. 115 - 133
      PubDate: 2014-02-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.059364
      Issue No: Vol. 4, No. 1/2 (2014)
       
  • Least squares estimation-based adaptive observation model for aerial
           visual tracking applications
    • Authors: K. Selvakumar, Jovitha Jerome
      Pages: 134 - 144
      Abstract: In aerially captured video, low resolution, very small object size and poor image quality may pose tracking as very difficult problem. Based on fundamental principle that single object class lie on a linear subspace, we propose a least squares estimation-based linear model which represents probe candidate as class specific galleries. In this method, tracking is considered as a binary classification problem, which consists of target and background class. Inclusion of background templates improves the discriminative strength of the object model. By projecting target patches on estimated target coefficient vector, all candidates are reconstructed. The squared sum of reconstruction error is used as an observation likelihood function to determine the maximum a posteriori (MAP) estimation for current frame. To contain the target appearance change during tracking online multiple dictionary learning strategy is proposed. Experiment results of proposed method shows better tracking accuracy and computation when compared to other representative tracking methods.
      Keywords: aerial video surveillance; object tracking; least squares observation; online dictionary learning; particle filters; least squares estimation; adaptive observation; aerial tracking; visual tracking; linear modelling
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 1/2 (2014) pp. 134 - 144
      PubDate: 2014-02-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.059370
      Issue No: Vol. 4, No. 1/2 (2014)
       
  • Automatic registration of high resolution satellite images using
           artificial immune system and mutual information
    • Authors: Akram Bennour, Bornia Tighiouart
      Pages: 145 - 160
      Abstract: Image registration is the process that allows geometric alignment of two images by determining the transformation that provides the most accurate match between two images. It is a crucial underlying process in many remote sensing applications such as multi-temporal classification, change detection, environmental monitoring, cloud removal, video geo-registration and map updating, etc. In this paper, we introduce a new approach for automated image registration without the need of sensors parameters and control points. The main characteristic of the algorithm is the use of a powerful search strategy based on artificial immune system (AIS) and mutual information as similarity measure. The method was implemented and tested using a variety of high-resolution satellite imagery such as Ikonos (0.8 metre resolution), QuickBird (0.8 m) and WorldView-2 (0.5 metres) respectively taken from Brazil, Iran and China. Experimental results and comparative studies demonstrate the effectiveness of the proposed approach for registration of high resolution satellite images.
      Keywords: satellite images; image registration; teledetection; mutual information; artificial immune system; AIS; artificial intelligence; computer vision; automatic registration; geometric alignment; image alignment; remote sensing; Brazil; Iran; China
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 1/2 (2014) pp. 145 - 160
      PubDate: 2014-02-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.059368
      Issue No: Vol. 4, No. 1/2 (2014)
       
  • Image fusion based on bilateral sharpness criterion in DT-CWT domain
    • Authors: Priya Ranjan Muduli, Umesh Chandra Pati
      Pages: 161 - 170
      Abstract: Since last few decades, multi sensor image fusion has been an emerging field of research in remote sensing, medical imaging and variety of computer vision applications. The primary objective of image fusion lies in the formation of a perceptually enhanced image from several multi sensor images using an appropriate fusion rule. The discrete wavelet transform (DWT)-based image fusion techniques have been popular due to less redundancy, low computations and perfect reconstruction with short support filters. But, it suffers severely from lack of directionality, shift variance, oscillations and aliasing problems. These issues have been overcome by means of Q-shift dual-tree complex wavelet transform (DT-CWT)-based image fusion. In this paper, an improved DT-CWT-based image fusion technique has been proposed to compose a resultant image with better perceptual as well as quantitative image quality indices. A bilateral sharpness based weighting scheme has been implemented for the high frequency coefficients taking both gradient and its phase coherence in account. A normalised maximum gradient weighting scheme is implemented for low frequency wavelet components. The fusion results demonstrate that the proposed fusion technique is more effective and competitive in terms of entropy, total standard deviation, average gradient measure and edge intensity measure.
      Keywords: bilateral sharpness criterion; discrete wavelet transform; DWT; dual-tree complex wavelet transform; DT-CWT; image fusion; phase congruency; multiresolution analysis; MRA; multi-sensor fusion; multiple sensors; entropy; total standard deviation; avera
      Citation: International Journal of Computational Vision and Robotics, Vol. 4, No. 1/2 (2014) pp. 161 - 170
      PubDate: 2014-02-18T23:20:50-05:00
      DOI: 10.1504/IJCVR.2014.059371
      Issue No: Vol. 4, No. 1/2 (2014)
       
 
 
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