Automated detection and enhancement of microcalcifications in mammograms using nonlinear subband decomposition
نویسندگان
چکیده
In this paper, computer-aided detection and enhancement of microcalci cations in mammogram images are considered. The mammogram image is rst decomposed into subimages using a 'subband' decomposition lter bank which uses nonlinear lters. A suitably identi ed subimage is divided into overlapping square regions in which skewness and kurtosis as measures of the asymmetry and impulsiveness of the distribution are estimated. All regions with high positive skewness and kurtosis are marked as a regions of interest. Next, an outlier labeling method is used to nd the locations of microcalci cations in these regions. An enhanced mammogram image is also obtained by emphasizing the microcalci cation locations. Linear and nonlinear subband decomposition structures are compared in terms of their e ectiveness in nding microcalci cated regions and their computational complexity. Simulation studies based on real mammogram images are presented.
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