CiiT International Journal of Digital Image Processing
The Aim of Journal on Digital Image Processing is a forum for presenting new advances and research results in the fields of Digital Image Processing. The scope of the journal covers all theoretical and practical aspects of the Digital Image Processing, from basic research to development of application.
The scope of the journal includes developing technologies in Image generation and display, Enhancement and restoration, Segmentation, Face Recognition & Super-resolution imaging Color and texture analysis Object Detection, Recognition and Categorization Medical Image Analysis ,Motion and Tracking ,Stereo and Structure from Motion Image restoration, feature extraction Bioluminescence, Biomedical optics and cancer detection, Biometric imaging, Blurred and noisy image processing Detectors and Image Formation Digital transforms Document image understanding Edge detection, image analysis and classification Emerging Detection and Imaging Technologies Noise estimation and filtering.
Print: ISSN 0974 – 9691 & Online: ISSN 0974 – 9586
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Vol 9, No 1 (2017)
Table of Contents
|Structural and Texture Model Based Methods for Fabric Defect Detection Using Image Processing Techniques|
|Dr. M. Renuka Devi, M. Dhivya||1-3|
|Multimedia and Virtual Reality|
|Dr. G. Satyavathy, P. Pavithra, R. Nandhini||4-7|
|A Brief Assessment on Video Segmentation and its Techniques|
|M. Brindha, R. Amsaveni||8-10|
|A Brief Study of Image Processing and Techniques|
|S. Keerthana, K. Sathiyakumari||11-13|
|Multi-type Classification of Mammogram Abnormalities by GHM and Multiclass SVM|
|S. Venkatalakshmi, Dr. J. Janet||14-20|
This work is licensed under a Creative Commons Attribution 3.0 License.
ISSN: 0974 – 9586