Title :
Performance Analysis of Various Segmentation Techniques in Breast Mammogram Images
Author :
Sasikala, S. ; Ezhilarasi, M. ; Sudharsan, P. ; Sivakumari, C. L. Yashwanthi
Author_Institution :
KGiSL Inst. of Technol., Coimbatore, India
Abstract :
Breast cancer became the most dangerous disease that affect the most of the women and which has the less survival rate. Segmentation is the crucial step in analysis of mammogram images. Based on the segmented image further classification is done. Here we compared various available segmentation techniques for segmentation of mammogram images.
Keywords :
diseases; image classification; image segmentation; mammography; medical image processing; breast cancer; breast mammogram image segmentation techniques; dangerous disease; mammogram image analysis; performance analysis; segmented image classification; survival rate; Active contours; Cancer; Entropy; Image segmentation; Level set; Morphological operations; PSNR; acwe; ddsm; mammogram; segmentation;
Conference_Titel :
Intelligent Computing Applications (ICICA), 2014 International Conference on
Conference_Location :
Coimbatore
DOI :
10.1109/ICICA.2014.56
