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Reseach Article

Histogram- A Contrast Enhancement Methods for Mammographic Breast Images

Published on May 2015 by Bhagwati Charan Patel, G.r. Sinha
National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
Foundation of Computer Science USA
ACEWRM2015 - Number 3
May 2015
Authors: Bhagwati Charan Patel, G.r. Sinha
16582866-e6d6-4b7b-92ae-f9a4fbae0197

Bhagwati Charan Patel, G.r. Sinha . Histogram- A Contrast Enhancement Methods for Mammographic Breast Images. National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering. ACEWRM2015, 3 (May 2015), 25-28.

@article{
author = { Bhagwati Charan Patel, G.r. Sinha },
title = { Histogram- A Contrast Enhancement Methods for Mammographic Breast Images },
journal = { National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering },
issue_date = { May 2015 },
volume = { ACEWRM2015 },
number = { 3 },
month = { May },
year = { 2015 },
issn = 0975-8887,
pages = { 25-28 },
numpages = 4,
url = { /proceedings/acewrm2015/number3/20914-6046/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%A Bhagwati Charan Patel
%A G.r. Sinha
%T Histogram- A Contrast Enhancement Methods for Mammographic Breast Images
%J National Conference Potential Research Avenues and Future Opportunities in Electrical and Instrumentation Engineering
%@ 0975-8887
%V ACEWRM2015
%N 3
%P 25-28
%D 2015
%I International Journal of Computer Applications
Abstract

Enhancement of images is applied over all the mammographic images before their diagnosis. The contrast of mammograms is always required to be good so that further investigation of breast cancer images is accurate. Here HE (histogram equalization), HS (histogram specification) and LE (local enhancement) methods are discussed for enhancing and improving the quality of mammographic images and their result and performance are compared with statistical parameter SNR (signal to noise ratio) and RMSE (root mean square error). In histogram techniques, the flexibility of this image processing approach is emphasized to enhance the images. The experimental result indicates that the algorithm can not only enhance image information effectively but also keep the original image luminance well enough fine structure of the image.

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Index Terms

Computer Science
Information Sciences

Keywords

Contrast Enhancement Mammographic Images Histogram Snr (signal To Noise Ratio)