Nonlinear filtering and multiscale texture discrimination for mammograms

Walter B. Richardson Jr.

doi:10.1117/12.130911

9 December 1992 Nonlinear filtering and multiscale texture discrimination for mammograms

Walter B. Richardson Jr.

Proceedings Volume 1768, Mathematical Methods in Medical Imaging; (1992) https://doi.org/10.1117/12.130911
Event: San Diego '92, 1992, San Diego, CA, United States

Abstract

A general method for computer aided diagnosis (CAD) of mammograms using a multiscale decomposition is proposed and implemented using several different techniques. The first is the now classic wavelet decomposition in which the smoothed versions of the image at coarser resolutions are given by appropriate orthogonal projections. Then two distinct nonlinear filters are used to provide a decomposition into simplified resumes and corresponding details at several different `scales.' One filter uses a nonlinear partial differential equation to provide smoothing and the other uses a robust weighted majority-minimum range (WMMR) algorithm. Results indicate that these methods will prove valuable in the design of a software package to assist the radiologist.

Citation Download Citation

Walter B. Richardson Jr. "Nonlinear filtering and multiscale texture discrimination for mammograms", Proc. SPIE 1768, Mathematical Methods in Medical Imaging, (9 December 1992); https://doi.org/10.1117/12.130911

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