文章基本信息

标题：Wavelet Based Microcalcification Detection On Mammographic Images
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作者：K.Prabhu Shetty ; V. R. Udupi ; Bairu K. Saptalakar 等
期刊名称：International Journal of Computer Science and Network Security
印刷版ISSN：1738-7906
出版年度：2009
卷号：9
期号：7
页码：213-217
出版社：International Journal of Computer Science and Network Security
摘要：This paper uses the spatial decomposition property of the discrete wavelet transform and statistical analysis in the property of skewness and kurtosis in order to trace out Microcalcification in the mammographic images. The mammographic images are region grown and applied with the wavelet transform .The spatial decomposed image that was got from the wavelet transform is subjected to statistical analysis. This statistical analysis involves finding skewness and kurtosis on the spatial coordinates of the decomposed image. This statistical analysis removes the complexity of edge detection techniques. And this becomes a pure numerical and probabilistic approach of finding the malign and benign microcalcification .The false acceptance ratio was found to be 4%. Image processing toolbox in Matlab is used for this application development.
关键词：Microcalcification; DWT; Skewness; texture; breast and Kurtosis