for Journals by Title or ISSN
for Articles by Keywords
help
Followed Journals
Journal you Follow: 0
 
Sign Up to follow journals, search in your chosen journals and, optionally, receive Email Alerts when new issues of your Followed Jurnals are published.
Already have an account? Sign In to see the journals you follow.
International Journal of Convergence Computing    Follow    
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
     ISSN (Print) 2048-9129 - ISSN (Online) 2048-9137
     Published by Inderscience Publishers Homepage  [381 journals]
  • Intima-media thickness estimation by back propagation algorithm
    • Authors: V. Savithri, S. Purushothaman
      Pages: 3 - 18
      Abstract: Intima-media thickness (IMT) is a well-known indicator of the physical properties of carotid artery in vascular disease examinations. In the present study, two different image segmentation techniques, based on edge detection and dynamic programming algorithms, were examined to extract the boundary of intima-media thickness. The results of these two methods were compared using back propagation algorithm. The features like area, shape, intensity, size of internal diameter and length of segmented regions traced by edge detection algorithm were compared with the same parameters traced by the dynamic programming algorithm. In conclusion, both these methodologies provide a reliable tool to detect the intima-media thickness in ultrasound images and can be used efficiently as secondary observer in clinical decision making.
      Keywords: ultrasound images; medical imaging; image processing; feature extraction; edge detection; intima-media thickness; carotid artery; vascular disease; image segmentation; dynamic programming
      Citation: International Journal of Convergence Computing, Vol. 1, No. 1 (2013) pp. 3 - 18
      PubDate: 2013-06-19T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2013.054656
      Issue No: Vol. 1, No. 1 (2013)
       
  • Prediction of liver cirrhosis based on multiresolution texture descriptors
           from B-mode ultrasound
    • Authors: Jitendra Virmani, Vinod Kumar, Naveen Kalra, Niranjan Khandelwal
      Pages: 19 - 37
      Abstract: A computer aided diagnostic system to characterise normal and cirrhotic liver by multiresolution texture descriptors is proposed in this paper. The study is carried out in 120 segmented regions of interest extracted from 31 clinically acquired B-mode liver ultrasound images. Mean and standard deviation multiresolution texture descriptors derived by using 2D-discrete wavelet transform, 2D-wavelet packet transform and 2D-Gabor wavelet transform are considered for analysis and exhaustive search with J3 criterion of class separability is used for feature selection. The performance of subset of five most discriminative texture descriptors obtained from 2D-discrete wavelet transform, 2D-wavelet packet transform and 2D-Gabor wavelet transform is compared by using a support vector machine classifier. It is observed that only five mean multiresolution texture descriptors obtained from 2D-Gabor wavelet transform at selective scale and orientations provide highest classification accuracy of 98.33% and sensitivity of 100% by using a support vector machine classifier. The promising results indicate that the selective frequency and orientation properties of Gabor filters are extremely useful for providing multiscale texture description.
      Keywords: liver cirrhosis; discrete wavelet transform; DWT; b-mode ultrasound; support vector machines; SVM; classifiers; multi-resolution texture descriptors; wavelet packet transform; WPT; Gabor wavelet transform; GWT; computer aided diagnosis; ultrasound images;
      Citation: International Journal of Convergence Computing, Vol. 1, No. 1 (2013) pp. 19 - 37
      PubDate: 2013-06-19T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2013.054658
      Issue No: Vol. 1, No. 1 (2013)
       
  • A robust approach for denoising and enhancement of mammographic images
           contaminated with high density impulse noise
    • Authors: Akshat Jain, Sonam Singh, Vikrant Bhateja
      Pages: 38 - 49
      Abstract: The categorisation of breast lesions as either benign or malignant if done accurately; would greatly reduce the mortality rate due to breast cancer all around the world. But the process is very challenging as the noise particles are generally detected as false positives which can be minimised only by the selective enhancement of the features of the mammogram indicative of cancer. This paper presents a combined approach for the suppression of high density impulse noise followed by the contrast enhancement of mammographic breast lesions. The application of the proposed denoising method is done iteratively to effectively remove the impulse noise. The non-linear enhancement operator with multistate adaptive gain is then passed over the denoised image for mammographic feature enhancement. Results of simulation show a marked improvement in the restoration quality of the contaminated images, preserving the finer features at high noise densities requiring not more than three iterations. With the optimal tuning of parameters, the enhancement of the targeted region of interest (ROI) is obtained with reasonable suppression of the background.
      Keywords: contrast improvement index; CII; high density impulse noise; multistate gain; peak signal to noise ratio; PSNR; robust estimation; sigmoid function; image denoising; image enhancement; mammographic images; mammograms; medical imaging; breast lesions; breast cancer
      Citation: International Journal of Convergence Computing, Vol. 1, No. 1 (2013) pp. 38 - 49
      PubDate: 2013-06-19T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2013.054659
      Issue No: Vol. 1, No. 1 (2013)
       
  • Adaptive anisotropic diffusion filter for speckle noise reduction for
           ultrasound images
    • Authors: Mohammad Motiur Rahman, Mithun Kumar PK., Abdul Aziz, Md. Gauhar Arefin, Mohammad Shorif Uddin
      Pages: 50 - 59
      Abstract: In image processing noise is possibly the most annoying problem. Ultrasound image has been used for effective diagnosis for its non-invasive, harmless, accurate and cost effectiveness. Unfortunately, ultrasound images are degraded by an intrinsic artefact called speckle. Eliminating such speckle noise is an important preprocessing task. For acquiring a better performance for denoising, an adaptive anisotropic diffusion technique for ultrasound images is presented in this paper. It is a new efficient method for denoising the image without blurring the frontiers between different regions. The proposed noise detection-oriented method is based on the differentiation of the diffusion in the direction of the gradient and the adjacent pixels of entire image. The performance of different metrics shows the proposed method exhibit better result to existing Perona-Malik anisotropic diffusion method.
      Keywords: anisotropic diffusion filter; adjacent pixels; speckle noise; gradient; measurement matrices; noise reduction; ultrasound images; image processing; image denoising; noise detection
      Citation: International Journal of Convergence Computing, Vol. 1, No. 1 (2013) pp. 50 - 59
      PubDate: 2013-06-19T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2013.054657
      Issue No: Vol. 1, No. 1 (2013)
       
  • Multiple distortion pooling image quality assessment
    • Authors: Prateek Gupta, Neha Tripathi, Vikrant Bhateja
      Pages: 60 - 72
      Abstract: This paper presents a quality assessment method which pools some basic image quality assessment parameters and empirically combines them in such a manner to evaluate across different distortion types. The proposed quality metric (Q) is formulated by modelling an image distortion as a combined effect of structural distortion, contrast distortion and edge distortion, which may occur on account of deteriorations due to noise contamination, contrast manipulations, blurring, rotation or compression. The values of the correlation coefficient prove that this metric provides an accurate estimation for the above mentioned distortions in comparison to mean squared error (MSE) and structural similarity measure (SSIM). Results of subjective evaluation also validate the efficiency of the proposed quality assessment method and its ability to quantify the effect of different distortions under a single quality metric.
      Keywords: contrast improvement index; CII; human visual system; HVS; mean squared error; MSE; quality metric; mean opinion score; MOS; multiple distortion pooling; image quality assessment; human vision; modelling; image distortion; structural distortion; contrast distortion
      Citation: International Journal of Convergence Computing, Vol. 1, No. 1 (2013) pp. 60 - 72
      PubDate: 2013-06-19T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2013.054655
      Issue No: Vol. 1, No. 1 (2013)
       
  • Analysis of interference between TD-SCDMA and WCDMA
    • Authors: Chang-peng Ji, Yun-fei Huang
      Pages: 73 - 85
      Abstract: According to the standard specification of TD-SCDMA and WCDMA systems, the principle of the interference between TD-SCDMA and WCDMA systems was analysed and then introduced the methods and simulation model about system interference, including cell model, power control, path loss model and simulation parameters, etc. The coexistence interference of TD-SCDMA and WCDMA systems was simulated for speech users only in a macro-to-macro cells scenario considering 1,920 MHz frequency used by classical Monte Carlo method. According to the simulation results, different parameters were analysed about the influence of system coexistence, and ACIR values were provided about system coexistence. It provides valuable reference for the research of hybrid network planning and optimising.
      Keywords: TD-SCDMA; WCDMA; interference; coexistence; convergence; simulation; modelling; cell model; power control; path loss model; mobile communications; communications standards; hybrid network planning; optimisation
      Citation: International Journal of Convergence Computing, Vol. 1, No. 1 (2013) pp. 73 - 85
      PubDate: 2013-06-19T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2013.054654
      Issue No: Vol. 1, No. 1 (2013)
       
  • Impact discussion of curve fitting on turbulence locus structuring
    • Authors: Zhongwei Liang, Xiaochu Liu, Bangyan Ye, Bihong Xie
      Pages: 86 - 96
      Abstract: Analysis of turbulence characteristics in the confined space has been emphasised in the strengthen grinding, and it is the main point and a difficult point in the research of fluid theory. For the purpose of studying the technological parameters of strengthen grinding and obtaining its characteristic signal group, the curve fitting's impact on turbulence locus's structuring is discussed and then be quantitatively evaluated. Through the meshing of flow field the turbulence tracing particle's locus is calibrated, then with the measurement of velocities and directions of these particles' motion, different typical algorithms of curve fitting are selected for structuring the model of turbulence locus. On the basis of calculating these locus models' mathematical characteristics, the impact disciplines exerted by curve structuring are quantified by repeated experiments. The impact discipline is analysed thus the final conclusions are reached. The impact mechanism and internal relationship between the curve fittings and the structuring of turbulence locus are established. The technology reference and research idea for turbulence monitoring in the process of strengthen grinding are also be provided.
      Keywords: curve fitting; turbulence locus structuring; quantitative impact; process monitoring; grinding process; fluid flow; modelling; turbulence monitoring
      Citation: International Journal of Convergence Computing, Vol. 1, No. 1 (2013) pp. 86 - 96
      PubDate: 2013-06-19T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2013.054660
      Issue No: Vol. 1, No. 1 (2013)
       
  • Credit games of Taobao buyers and sellers
    • Authors: Yang Ying, Hong-Jian Qu
      Pages: 97 - 107
      Abstract: The importance of e-commerce is increasingly visible, but the credit problem is still one of the bottlenecks of its development. This paper mainly researches the credit problems of Taobao (http://www.taobao.com) buyers and sellers based on the game theory. Firstly, the seller's credit problem is due to fraud, which leads to buyers' interests damage; secondly, the buyer's credit problem is due to Taobao's introduction of freight insurance, thus buyers can return goods very easily, which influences sellers obviously. Based on that, this paper builds the game model, which sets the strategies of buyers (purchase and return, purchase and not return, not purchase) and sellers (trust, not trust), and then draw the corresponding conclusions and recommendations through the analysis, which includes improving the technology costs (X) for seller to publish false information, increasing sellers' probability (q) of being discovered for fraud, and reducing the cost (A) of sellers' return rate.
      Keywords: e-commerce; Taobao buyers; Taobao sellers; credit problems; game theory; return shipping insurance; electronic commerce
      Citation: International Journal of Convergence Computing, Vol. 1, No. 1 (2013) pp. 97 - 107
      PubDate: 2013-06-19T23:20:50-05:00
      DOI: 10.1504/IJCONVC.2013.054661
      Issue No: Vol. 1, No. 1 (2013)
       
 
 
JournalTOCs
School of Mathematical and Computer Sciences
Heriot-Watt University
Edinburgh, EH14 4AS, UK
Email: journaltocs@hw.ac.uk
Tel: +00 44 (0)131 4513762
Fax: +00 44 (0)131 4513327
 
About JournalTOCs
API
Help
News (blog, publications)
JournalTOCs on Twitter   JournalTOCs on Facebook

JournalTOCs © 2009-2014