An Efficient Image Processing Technique To Automatically Detect Microcalcifications in Mammograms of Breast Cancer

Abstract

Breast Cancer is one of the Major Causes of Death of Women in the World. Early Detection of Breast
Cancer is a Key Point for Successful Breast Cancer Treatment Process. Cancer Detection Using Computer Aided
Diagnosis (CAD) is an Active Field of Research. CAD System Provides tool to radiologist for making decision about
discover of Breast Cancer. In Order to Provide Primary Identification of Breast abnormalities, Several CAD Systems
has been developed. This Paper Presents Early Detection of Breast Abnormality like Microcalcification Using Image
Processing Techniques. Algorithm Implemented for Microcalcifications Detection in Mammogram Image. The Image
from Database is Preprocessed Using Filtering and Image Enhancement Technique which makes Image more
effective for Analysis. Paper Presents Median Filtering Method to remove noise and Adaptive Histogram Equalization
for Image Enhancement. Image Analysis is done by Image Segmentation. Paper Presents Improved Otsu’s Automatic
Thresolding Technique for Image Segmentation. Impurities of Segmentation is Removed by Post Processing. Paper
Presents Morphological Operation for Post processing. Fifteen Patient’s Mammograms have been processed.
Mammogram dataset has been taken from Scientific Diagnostic Center. We Found Our Approach can be very useful
to Radiologist to detect Microcalcifications and gives good Result.