Manuscript Number : SISRRJ18126

Breast Cancer Detection Using Image Processing Techniques

Authors(2) :-Dr. S. R. Ganorkar, Dipali A. Sable

Breast cancer is one of the most common cancer among women in India. It can start to the breast and can spread to the other parts of the body. The disease is curable if detected early. Early detection of microcalcification cells is very important stage for the further treatment. This proposed work will compare the more efficient image processing techniques which gives the more accuracy. In this proposed work, the mammogram images are initially preprocessed using different methods. In this, noise in the background will be removed using median filter and wiener filter and contrast enhancement will be done using contrast limited adaptive histogram equalization techniques. Then the region of interest will be determined using segmentation by otsu’s thresholding algorithm. Features of the mammogram images will be extracted using Wavelet Transform and the extracted features are used for the classification. Support Vector Machine and normalize minimum distance classifier are used to classify the images.

Authors and Affiliations

Dr. S. R. Ganorkar
Electronics and Telecommunication, SCOE, Pune, Maharashtra, India
Dipali A. Sable
Electronics and Telecommunication, SCOE, Pune, Maharashtra, India

Mammogram Images, Minimum Distance Classifier, Otsu's Thresholding, Support Vector Machine, Wavelet Transform.

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Publication Details

Published in : Volume 1 | Issue 2 | July-August 2018
Date of Publication : 2018-08-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 49-54
Manuscript Number : SISRRJ18126
Publisher : Shauryam Research Institute

ISSN : 2581-6306

Cite This Article :

Dr. S. R. Ganorkar, Dipali A. Sable, "Breast Cancer Detection Using Image Processing Techniques", Shodhshauryam, International Scientific Refereed Research Journal (SHISRRJ), ISSN : 2581-6306, Volume 1, Issue 2, pp.49-54, July-August.2018
URL : https://shisrrj.com/SISRRJ18126

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