A Novel Edge Detection Algorithm for Digital Mammogram

摘要

Detection of edges in an image is a very important step towards understanding image features. Since edges often occur at image locations representing object boundaries, edge detection is extensively used in image segmentation when images are divided into areas corresponding to different objects. This can be used specifically for enhancing the tumor area in mammographic images. Different methods are available for edge detection like Roberts, Sobel, Prewitt, Kirsch and Laplacian of Gaussian edge operators. In this paper a novel algorithm for edge detection has been proposed for mammographic images. Breast boundary, pectoral region and tumor location can be seen clearly by using this method. For comparison purpose Roberts, Sobel, Prewitt, Kirsch and Laplacian of Gaussian edge operators are used and their results are displayed.