Digital Image Processing Using MATLAB
Digital Image Processing Using MATLAB
Computer-aided detection and diagnosis of breast cancer with mammography: recent advances
IEEE Transactions on Information Technology in Biomedicine
Region-Based image retrieval with perceptual colors
PCM'04 Proceedings of the 5th Pacific Rim Conference on Advances in Multimedia Information Processing - Volume Part II
IEEE Transactions on Circuits and Systems for Video Technology
Hi-index | 0.00 |
Feature extraction, retrieval and classification of mammographic images are important issues in development of disease diagnostic expert system [DDES]. In this paper we investigate and make comparative analysis of wavelet based CBIR features which may be useful for classification and retrieval of mammographic images for various categories of breast images as classified in Mini-MIAS database. Features were extracted after wavelet decomposition of images rather than from the original image. The results show that extracted features are useful for both retrieval and classification of mammographic images. The precision and classification efficiency may be highly improved by combining extracted statistical features from Approximation, Horizontal, Vertical Detail and Diagonal Detail coefficients.