%0 Journal Article %1 sheldamohan2013optimized %A Shelda Mohan, M Ravishankar %D 2013 %E ACEEE, %J ACEEE Int. J. on Information Technology %K CLAHE Contrast Criterion Enhancement Equalization Histogram Local Objective Optimization Parameter Tuning parameter %N 1 %T Optimized Histogram Based Contrast Limited Enhancement for Mammogram Images %U /brokenurl#doi.searchdl.org/01/IJIT/3/1/1115.pdf %V 3 %X Detection of breast cancer in its early stage is very important in the field of medicine. Optimal Contrast Enhancement is essential for the detection of mass and micro calcification in mammogram images. The standard histogram equalization is effective and simple method for contrast enhancement but for medical images most of the time it produces excessive contrast enhancement due to lack of control for the level of enhancement. In this paper image enhancement is considered as an optimization problem and an optimization technique based on entropy and edge information of the image is presented. The enhancement function used in the paper is Contrast Limited Adaptive Histogram Equalization (CLAHE) based on local contrast modification (LCM). Its enhancement potential is tested by sobel operator for the detection of microcalcification. Results are compared with other enhancement techniques such as Histogram Equalization, Unsharp Masking and CLAHE.

@article{sheldamohan2013optimized, abstract = {Detection of breast cancer in its early stage is very important in the field of medicine. Optimal Contrast Enhancement is essential for the detection of mass and micro calcification in mammogram images. The standard histogram equalization is effective and simple method for contrast enhancement but for medical images most of the time it produces excessive contrast enhancement due to lack of control for the level of enhancement. In this paper image enhancement is considered as an optimization problem and an optimization technique based on entropy and edge information of the image is presented. The enhancement function used in the paper is Contrast Limited Adaptive Histogram Equalization (CLAHE) based on local contrast modification (LCM). Its enhancement potential is tested by sobel operator for the detection of microcalcification. Results are compared with other enhancement techniques such as Histogram Equalization, Unsharp Masking and CLAHE. }, added-at = {2013-03-09T07:53:52.000+0100}, author = {Shelda Mohan, M Ravishankar}, biburl = {https://www.bibsonomy.org/bibtex/2ec181c058fcb008de4bdfb1b25bc03a6/ideseditor}, editor = {ACEEE}, interhash = {af606cc59803d805c825b209ad4460a1}, intrahash = {ec181c058fcb008de4bdfb1b25bc03a6}, journal = {ACEEE Int. J. on Information Technology}, keywords = {CLAHE Contrast Criterion Enhancement Equalization Histogram Local Objective Optimization Parameter Tuning parameter}, month = mar, number = 1, timestamp = {2013-03-09T07:53:53.000+0100}, title = {Optimized Histogram Based Contrast Limited Enhancement for Mammogram Images }, url = {/brokenurl#doi.searchdl.org/01/IJIT/3/1/1115.pdf}, volume = 3, year = 2013 }