  Image Processing represents the backbone research area within engineering and
computer science specialization. It is promptly growing technologies today, and
its applications founded in various aspects of biomedical fields especially in
cancer disease. Breast cancer is considered the fatal one of all cancer types
according to recent statistics all over the world. It is the most commonly
cancer in women and the second reason of cancer death between females. About
23% of the total cancer cases in both developing and developed countries. In
this work, an interpolation process was used to classify the breast cancer into
main types, benign and malignant. This scheme dependent on the morphologic
spectrum of mammographic masses. Malignant tumors had irregular shape percent
higher than the benign tumors. By this way the boundary of the tumor will be
interpolated by additional pixels to make the boundary smoothen as possible,
these needed pixels is proportional with irregularity shape of the tumor, so
that the increasing in interpolated pixels meaning the tumor goes toward the
malignant case. The proposed system is implemented using MATLAB programming and
tested over several images taken from the Mammogram Image Analysis Society
(MIAS) image database. The MIAS offers a regular classification for
mammographic studies. The system works faster so that any radiologist can take
a clear decision about the appearance of calcifications by visual inspection.
