Laine Andrew F. author Columbia University. Biomedical Engineering Columbia University. Radiology Schuler Sergio author Huda Walter author Honeyman Janice author Steinbach Barbara author Columbia University. Biomedical Engineering originator text Articles 1993 English This paper introduces a novel approach for accomplishing mammographic feature analysis through overcomplete multiresolution representations. We show that efficient representations may be identified from digital mammograms and used to enhance features of importance to mammography within a continuum of scale-space. We present a method of contrast enhancement based on an overcomplete, non-separable multiscale representation: the hexagonal wavelet transform. Mammograms are reconstructed from transform coefficients modified at one or more levels by local and global non-linear operators. Multiscale edges identified within distinct levels of transform space provide local support for enhancement. We demonstrate that features extracted from multiresolution representations can provide an adaptive mechanism for accomplishing local contrast enhancement. We suggest that multiscale detection and local enhancement of singularities may be effectively employed for the visualization of breast pathology without excessive noise amplification. Biomedical engineering Loew Murray H. editor Bellingham, Wash. SPIE 1993 10.1117/12.154543 http://hdl.handle.net/10022/AC:P:9582 NNC Copyright 1993 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited. NNC 2010-08-30 10:07:47 -0400 2011-09-02 13:39:00 -0400 2147 eng