Otsu's method for clip limiting histograms for contrast enhancement of digital mammograms

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Abstract

This paper presents a novel Otsu based clipping technique for Contrast - Limited Adaptive Histogram Equalization (OC-CLAHE) algorithm for enhancing the contrast of digital mammograms. The algorithm is proposed because the existing CLAHE technique limits the amplification of contrast by clipping the histogram at a predefined value. This clip-limit is crisp and invariant to image data. This causes all the pixels inside the window region of the image to be equally affected. The proposed Otsu based clipping algorithm automates the selection of clip-limit which makes it flexible and variant to image data. Measures of Contrast Improvement Index (CII) and Discrete Entropy (DE) are used to evaluate contrast enhancement. Experimental results show that the proposed OC-CLAHE algorithm produces better contrast enhancement than several state-of-art algorithms.
Original languageEnglish
Title of host publicationProceedings of the 2014 IEEE International Conference on Computational Intelligence and Computing Research
EditorsN Krishnan, M Karthikeyan
Place of PublicationNew Jersey USA
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1 - 4
Number of pages4
ISBN (Print)9781479939749
DOIs
Publication statusPublished - 2015
EventIEEE International Conference on Computational Intelligence and Computing Research 2015 - Vickram College of Engineering, Madurai, India
Duration: 10 Dec 201512 Dec 2015
Conference number: 6th
https://ieeexplore.ieee.org/xpl/conhome/7430173/proceeding (Proceedings)

Conference

ConferenceIEEE International Conference on Computational Intelligence and Computing Research 2015
Abbreviated titleICCIC 2015
Country/TerritoryIndia
CityMadurai
Period10/12/1512/12/15
Internet address

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