Published Paper Details:

Breast cancer is one of the leading causes to women mortality in the world. Primary prevention is not possible since the cause of this disease is still not understood. However, existing methods of treatment are very effective against breast cancer in its early phase when the balance between the tumor and its host is more favorable. Therefore, removal of the cancer while it is still in its early stage is the most promising way to achieve a significant change in the current breast cancer situation using mammograms. Mammograms are among the most difficult radiological images to interpret by radiologists. Dense breasts, improper technical factors, or simple oversight by radiologists may contribute to the failure of detecting micro calcifications. The proposed work presents a novel approach for detection of Micro calcifications in mammograms using Nonlinear Filter. The method consists of Image Denoising using Median Filter, Image Contrast Enhancement by applying a Nonlinear Operator followed by an Edge Detection method using Co-ordinate Logic Filter. The experimental results show that the proposed method can locate Microcalcifications in an efficient way.