Relaxation labelling algorithms-a review
Image and Vision Computing
Introduction to statistical pattern recognition (2nd ed.)
Introduction to statistical pattern recognition (2nd ed.)
Multiresolution Gray-Scale and Rotation Invariant Texture Classification with Local Binary Patterns
IEEE Transactions on Pattern Analysis and Machine Intelligence
A modified Gabor filter design method for fingerprint image enhancement
Pattern Recognition Letters
Texture Classification by Multi-Predicate Local Binary Pattern Operators
ICPR '00 Proceedings of the International Conference on Pattern Recognition - Volume 3
Pattern Recognition Using Average Patterns of Categorical k-Nearest Neighbors
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 4 - Volume 04
A novel genetic algorithm based on immunity
IEEE Transactions on Systems, Man, and Cybernetics, Part A: Systems and Humans
Segmentation of Gabor-filtered textures using deterministic relaxation
IEEE Transactions on Image Processing
Sign and magnitude of local patterns for image indexing and retrieval
International Journal of Computational Vision and Robotics
Computers and Electronics in Agriculture
A comparative study of ultrasound image segmentation algorithms for segmenting kidney tumors
Proceedings of the 4th International Symposium on Applied Sciences in Biomedical and Communication Technologies
A new fuzzy segmentation approach based on S-FCM type 2 using LBP-GCO features
Image Communication
Directional Binary Wavelet Patterns for Biomedical Image Indexing and Retrieval
Journal of Medical Systems
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We present a novel approach to multi-texture image segmentation based on the formation of an effective texture feature vector. Texture sub-features are derived from the output of an optimized Gabor filter. The filter's parameters are selected by an immune genetic algorithm, which aims at maximizing the discrimination between the multi-textured regions. Next the texture features are integrated with a local binary pattern, to form an effective texture descriptor with low computational cost, which overcomes the weakness of the single frequency output component of the filter. Finally, a K-nearest neighbor classifier is used to effect the multi-texture segmentation. The integration of the optimum Gabor filter and local binary pattern methods provide a novel solution to the task. Experimental results demonstrate the effectiveness of the proposed approach.