Early diagnosis of breast cancer using contrast limited adaptive histogram equalization (CLAHE) and Morphology methods

The main aim of this paper is to enhance using hybrid solution for early diagnosis of breast cancer using mammogram images. For the CAD system for any image processing system follows mainly four steps that is image pre processing, segmentation, features extraction and classification and evaluation. For this research purpose follows the same structure using best possible methods in each stage found in literature review and proposed solution. From the experiment hybrid image enhancement method using CLAHE and Morphology method helps to enhance image for further computation in CAD system to early diagnosis of breast cancer using mammogram images while maintaining processing time as previous best solution. From the study depict that the purposed solution can help to enhance mammogram images for the further processing for segmentation, feature extraction and classification. However, further testing and implementation of proper classification method needed for before clinical use.