文章基本信息

标题：Nonsubsampled Contourlet Transformation Based Image Enhancement with Spatial and Statistical Feature Extraction for Classification of Digital Mammogram
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作者：K. Sankar ; K.Nirmala
期刊名称：International Journal of Soft Computing & Engineering
电子版ISSN：2231-2307
出版年度：2013
卷号：3
期号：4
页码：108-110
出版社：International Journal of Soft Computing & Engineering
摘要：In this paper, an efficient automated microcalcification classification system for breast cancer in mammograms using NonSubsampled Contourlet Transform (NSCT), Single Value Decomposition (SVD), Jacobi Moments and Support Vector Machine (SVM) is presented. The image is enhanced by using the preprocessing technique NonSubsampled Contourlet Transform (NSCT). The classification of microcalcification is achieved by extracting the features by using SVD and Jacobi moments and the outcomes are used as an input to the SVM classifier for classification
关键词：C Mammography; breast cancer; texture features; ;NSCT; SVD; Jacobi moments and SVM