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Removal of Pectoral Muscles and Locating Cancer in Breast using Fuzzy Technique

C. Naga Raju*, A. Hima Bindu**

* Associate Professor and Head, Department of Computer Science and Engineering, YSR Engineering College of Yogivemana University,Proddatur, Andhra Pradesh, India.

**Research Scholar, Department of Computer Science and Engineering, Ryalaseema University, Kurnool, Andhra Pradesh, India.

Periodicity:October - December'2018
DOI : https://doi.org/10.26634/jip.5.4.15422

Abstract

The Micro-calcification which is an early sign of breast cancer is hard to find due to its small size, poor contrast, and blurry image boundary. Pectoral Muscles on mammograms are soft tissues of the body other than breast muscles, which looks like a cancer. The fuzzy algorithms used in this scenario are fuzzy opertors that analyze the image at pixel level to detect abnormalities and identify the location of abnormalities on the breast and pectoral muscles. This paper describes a technique which consist of five steps to find location of cancers in breast by removing pectoral muscles 1) To enhance the quality of poor breast images 2) preconisation of the breast shape 3) extract the cancer part from the breast images 4) removing the Pectoral muscles depends on the orientation of the breasts 5) location of the cancer part on breast images. The result shows the possibility and adequacy of the proposed approach.

Keywords

Benign, Pectoral Muscle, Masses, Distortions, ROI, Cesium.

How to Cite this Article?

Raju, C. N., & Bindu, A. H.(2018). Removal Of Pectoral Muscles And Locating Cancer In Breast using Fuzzy Technique. i-manager's Journal on Image Processing, 5(4),17-25. https://doi.org/10.26634/jip.5.4.15422

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