Wavelet-morphology for mass detection in digital mammogram images

Golshah A. Naghdy; Yue Li; Jian Wang

doi:10.1117/12.480109

15 May 2003 Wavelet-morphology for mass detection in digital mammogram images

Golshah A. Naghdy, Yue Li, Jian Wang

Author Affiliations +

Proceedings Volume 5032, Medical Imaging 2003: Image Processing; (2003) https://doi.org/10.1117/12.480109
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

In this paper, a novel wavelet-morphology method for the detection of mass abnormalities in digital mammograms is presented. The new scheme utilizes the feature extraction capability of the wavelet transform followed by a novel recursive-enhancement morphology algorithm to detect the masses. A morphology-based segmentation algorithm is finally applied to the enhanced image to separate the mass from the normal breast tissues. This technique outlines the shape of the region of interest (mass in mammograms). Tests results have confirmed the efficacy of the technique in automated detection of abnormalities in wavelet based compressed mammograms.

Citation Download Citation

Golshah A. Naghdy, Golshah A. Naghdy, Yue Li, Yue Li, Jian Wang, Jian Wang, } "Wavelet-morphology for mass detection in digital mammogram images", Proc. SPIE 5032, Medical Imaging 2003: Image Processing, (15 May 2003); doi: 10.1117/12.480109; https://doi.org/10.1117/12.480109

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