Paper Info
Title
Comparison of enhancement methods for mammograms with performance measures.
Abstract
Mammograms are generally contaminated by noise which assures the need for image enhancement to aid interpretation. The enhancement of mammograms is a very important problem for easy extraction of suspicious regions known as regions of interest (ROIs). This paper introduces comparison of various hybrid enhancement algorithms based on mathematical morphology, contrast stretching, wavelet transform, anisotropic diffusion filter and contrast limited adaptive histogram equalization (CLAHE). The performances of algorithms have been compared by using three global image enhancement evaluation measures; Enhancement Measure (EME), Absolute Mean Brightness Error (AMBE) and Peak Signal-to-Noise Ratio (PSNR). For this study, we have used MIAS database. Experimental results show that the combination of mathematical morphology, anisotropic diffusion filter and CLAHE methods, yields significantly superior image quality and provides more visibility for the suspicious regions.
Year
DOI
Venue
2014
10.3233/978-1-61499-432-9-486
Studies in Health Technology and Informatics
Keywords
Field
DocType
Mammogram,mathematical morphology,wavelet transform,anisotropic diffusion filter,contrast limited adaptive histogram equalization (CLAHE),contrast enhancement,performance measure
Data mining,Medicine
Conference
Volume
ISSN
Citations 
205
0926-9630
0
PageRank 
References 
Authors
0.34
0
3
Name
Order
Citations
PageRank
Kurt Burçin1394.17
Vasif V. Nabiyev212114.59
Kemal Turhan3113.12