Watersheds in Digital Spaces: An Efficient Algorithm Based on Immersion Simulations
IEEE Transactions on Pattern Analysis and Machine Intelligence
Topographic distance and watershed lines
Signal Processing - Special issue on mathematical morphology and its applications to signal processing
Artificial convolution neural network for medical image pattern recognition
Neural Networks - Special issue: automatic target recognition
A Stochastic Model for Automated Detction of Calculations in Digital Mammograms
IPMI '91 Proceedings of the 12th International Conference on Information Processing in Medical Imaging
An Anomaly Intrusion Detection System Based on Vector Quantization
IEICE - Transactions on Information and Systems
A fast VQ codebook generation algorithm using codeword displacement
Pattern Recognition
An Efficient Fast Algorithm to Generate Codebook for Vector Quantization
ICETET '08 Proceedings of the 2008 First International Conference on Emerging Trends in Engineering and Technology
Fast codebook search algorithm for vector quantization using sorting technique
Proceedings of the International Conference on Advances in Computing, Communication and Control
Proceedings of the International Conference on Advances in Computing, Communication and Control
SAR image segmentation using co-occurrence matrix and slope magnitude
Proceedings of the International Conference on Advances in Computing, Communication and Control
Face detection using quantized skin color regions merging andwavelet packet analysis
IEEE Transactions on Multimedia
Lossless compression of VQ index with search-order coding
IEEE Transactions on Image Processing
Automatic watershed segmentation of randomly textured color images
IEEE Transactions on Image Processing
Fast Planar-Oriented Ripple Search Algorithm for Hyperspace VQ Codebook
IEEE Transactions on Image Processing
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Segmenting a mammographic images into homogeneous texture regions representing disparate tissue types is often a useful preprocessing step in the computer-assisted detection of breast cancer. That is why we proposed new algorithm to detect cancer in mammogram breast cancer images. In this paper we proposed segmentation using vector quantization technique. Here we used Kekre's Fast Codebook Generation algorithm (KFCG) for segmentation of mammographic images. Initially a codebook of size 128 was generated for mammographic images. These code vectors were further clustered in 8 clusters using same KFCG algorithm. Eight segmented images were obtained for each code vector. These 8 images were displayed as a result. This approach does not leads to over segmentation or under segmentation, as is the case for watershed segmentation and entropy segmentation using Gray Level Co-occurrence Matrix. Results of these algorithms are shown for comparison.