Abstract
Objective: The aim of the paper is to study enhancement algorithm on mammograms, and quantitative measures of contrast enhancement. Method: The gray uniformity is defined by edge value, standard deviation and entropy for mammograms. The adjusting factor is presented to adjust the contrast enhancement in the whole image. Then the uniformity based-on algorithm is applied to enhance mammograms. Four quantitative measures of contrast enhancement are put forward. And for the first time, the presented algorithm is compared with two other existing contrast enhancement techniques—histogram equalization and morphological enhancement. Results: The index shows that the presented algorithm is found to perform better than histogram equalization and morphological enhancement. Conclusion: A lot of experiments and comparisons are needed to study the relativity among DSM, TBCs, TBCe and the final index. Based on those, contrast enhancement algorithm for mammograms and rational evaluation system and measures can be found.