Vector Quantization for Tumor Demarcation of Mammograms

Segmenting mammographic images into homogeneous texture regions representing disparate tissue types is often a useful preprocessing step in the computer-assisted detection of breast cancer. Hence new algorithm to detect cancer in mammogram breast cancer images is proposed. In this paper we proposed segmentation using vector quantization technique. Here Linde Buzo Gray (LBG) for segmentation of mammographic images is used. Initially a codebook (CB) of size 128 was generated for mammographic images. These code vectors were further clustered in 8 clusters using same algorithm. These 8 images were displayed as a result. The codebook of size 128 clustered to 16 code vectors, codebook of size 128 clustered to 8 code-vectors using LBG algorithm is compared with watershed algorithm. The proposed approach does not lead to over segmentation or under segmentation with less complexity with more accuracy.

[1]  H. B. Kekre,et al.  Speech Data Compression using Vector Quantization , 2008 .

[2]  Wei Qian,et al.  Tree-structured nonlinear filter and wavelet transform for microcalcification segmentation in mammography , 1993, Electronic Imaging.

[3]  W. Philip Kegelmeyer.  Computer detection of stellate lesions in mammograms , 1992, Electronic Imaging.

[4]  Robert M. Gray,et al.  An Algorithm for Vector Quantizer Design , 1980, IEEE Trans. Commun..

[5]  Sudeep D. Thepade,et al.  IMAGE RETRIEVAL USING COLOR-TEXTURE FEATURES FROM DCT ON VQ CODE VECTORS OBTAINED BY KEKRES FAST CODEBOOK GENERATION , 2009 .

[6]  Hiroyuki Yoshida,et al.  Automated detection of clustered microcalcifications in digital mammograms using wavelet processing techniques , 1994, Medical Imaging.

[7]  Huai Li,et al.  Artificial convolution neural network for medical image pattern recognition , 1995, Neural Networks.

[8]  H. B. Kekre,et al.  Bi-Level Vector Quantization Method for Codebook Generation , 2009, 2009 Second International Conference on Emerging Trends in Engineering & Technology.

[9]  Julius T. Tou,et al.  Pattern Recognition Principles , 1974 .

[10]  Sudeep D. Thepade,et al.  Color-Texture Feature based Image Retrieval using DCT applied on Kekre’s Median Codebook , 2009 .

[11]  R. Gray,et al.  Vector quantization , 1984, IEEE ASSP Magazine.

[12]  H. B. Kekre,et al.  Fast Codevector Search Algorithm for 3-D Vector Quantized Codebook , 2009 .

[13]  Josef Kittler,et al.  Automatic watershed segmentation of randomly textured color images , 1997, IEEE Trans. Image Process..

[14]  H. B. Kekre,et al.  SAR image segmentation using co-occurrence matrix and slope magnitude , 2009, ICAC3 '09.

[15]  H. B. Kekre,et al.  Color Image Segmentation Using Kekre-s Algorithm for Vector Quantization , 2008 .

[16]  R Di Paola,et al.  A fractal approach to the segmentation of microcalcifications in digital mammograms. , 1995, Medical physics.

[17]  Jian Fan,et al.  Mammographic feature enhancement by multiscale analysis , 1994, IEEE Trans. Medical Imaging.

[18]  H. B. Kekre,et al.  An Efficient Fast Algorithm to Generate Codebook for Vector Quantization , 2008, 2008 First International Conference on Emerging Trends in Engineering and Technology.

[19]  Dong-Ming Zhao.  Rule-based morphological feature extraction of microcalcifications in mammograms , 1993, Electronic Imaging.

[20]  L. Rabiner,et al.  The acoustics, speech, and signal processing society - A historical perspective , 1984, IEEE ASSP Magazine.

[21]  Recognition of clustered microcalcifications using a random field model , 1993, Electronic Imaging.

[22]  H. B. Kekre,et al.  Fast codebook search algorithm for vector quantization using sorting technique , 2009, ICAC3 '09.

[23]  H. B. Kekre,et al.  Vector Quantized Codebook Optimization using K-Means , 2009 .

[24]  H. B. Kekre,et al.  Color image segmentation using Kekre's fast codebook generation algorithm based on energy ordering concept , 2009, ICAC3 '09.

[25]  Basim Alhadidi,et al.  Mammogram Breast Cancer Image Detection Using Image Processing Functions , 2007 .

[26]  R.M. Haralick,et al.  Statistical and structural approaches to texture , 1979, Proceedings of the IEEE.