Image processing for early diagnosis of breast cancer using infrared images

Early diagnosis of Breast Cancer is the key to improve survival rate. Infrared thermal imaging or thermography is a promising screening tool as it is able to warn women of breast cancer ten years in advance. However, interpretation of a thermogram can be inconsistent. In order to improve the accuracy of preliminary breast cancer screening using thermogram, image segmentation is proposed as an automatic approach for analysis of infrared thermal images. Edge detection and Hough transform are outlined for asymmetry analysis of heat patterns in contralateral breasts