BREAST DENSE CELL COUNT AND ANALYSIS IN DIGITAL MAMMOGRAM BY AUTO THRESHOLD METHOD.

Breast cancer one of the most leading disease among the women’s. In this research paper, we count the number of abnormal breast cells and find their position with image processingtechniques. The proposed work contains four stages, and there are i) smoothing ii) Threshold iii) Basic Morphology iv) Partial analysis. The particular cells segregation is the most important process of this work. In present work is the application of various filters used in image processing and apply these filters in detecting the highly dense cells responsible for breast abnormalities. Two different type of filteroperators in image processing are Gradient, and Laplacian operators have been used and implemented. The LABVIEW and MATLABSoftware gave practical usages to this image processing system because it can interconnect with other tools used in this system and controls them to have an automatic system. This experimental result is the potential effectiveness of such a system on diagnostic tasks that require the classification of individual cells. The digital mammogram images and data sample have been taken from the online database has been made for the detection of dense cells responsible for breast abnormalities. The main aim of this paper helps the radiologist to detect the breast dense cells.