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

Sheeba Jenifer Sujit; Subramaniam Parasuraman; Amudha Kadirvelu

doi:10.1109/ICCIC.2014.7238493

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

Sheeba Jenifer Sujit, Subramaniam Parasuraman, Amudha Kadirvelu

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

1 Citation (Scopus)

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 language	English
Title of host publication	Proceedings of the 2014 IEEE International Conference on Computational Intelligence and Computing Research
Editors	N Krishnan, M Karthikeyan
Place of Publication	New Jersey USA
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	1 - 4
Number of pages	4
ISBN (Print)	9781479939749
DOIs	https://doi.org/10.1109/ICCIC.2014.7238493
Publication status	Published - 2015
Event	IEEE International Conference on Computational Intelligence and Computing Research 2015 - Vickram College of Engineering, Madurai, India Duration: 10 Dec 2015 → 12 Dec 2015 Conference number: 6th https://ieeexplore.ieee.org/xpl/conhome/7430173/proceeding (Proceedings)

Conference

Conference	IEEE International Conference on Computational Intelligence and Computing Research 2015
Abbreviated title	ICCIC 2015
Country/Territory	India
City	Madurai
Period	10/12/15 → 12/12/15
Internet address	https://ieeexplore.ieee.org/xpl/conhome/7430173/proceeding (Proceedings)

Access to Document

10.1109/ICCIC.2014.7238493

Cite this

Sujit, S. J., Parasuraman, S., & Kadirvelu, A. (2015). Otsu's method for clip limiting histograms for contrast enhancement of digital mammograms. In N. Krishnan, & M. Karthikeyan (Eds.), Proceedings of the 2014 IEEE International Conference on Computational Intelligence and Computing Research (pp. 1 - 4). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ICCIC.2014.7238493

Sujit, Sheeba Jenifer ; Parasuraman, Subramaniam ; Kadirvelu, Amudha. / Otsu's method for clip limiting histograms for contrast enhancement of digital mammograms. Proceedings of the 2014 IEEE International Conference on Computational Intelligence and Computing Research. editor / N Krishnan ; M Karthikeyan. New Jersey USA : IEEE, Institute of Electrical and Electronics Engineers, 2015. pp. 1 - 4

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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.",

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publisher = "IEEE, Institute of Electrical and Electronics Engineers",

address = "United States of America",

note = "IEEE International Conference on Computational Intelligence and Computing Research 2015, ICCIC 2015 ; Conference date: 10-12-2015 Through 12-12-2015",

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Sujit, SJ, Parasuraman, S & Kadirvelu, A 2015, Otsu's method for clip limiting histograms for contrast enhancement of digital mammograms. in N Krishnan & M Karthikeyan (eds), Proceedings of the 2014 IEEE International Conference on Computational Intelligence and Computing Research. IEEE, Institute of Electrical and Electronics Engineers, New Jersey USA, pp. 1 - 4, IEEE International Conference on Computational Intelligence and Computing Research 2015, Madurai, India, 10/12/15. https://doi.org/10.1109/ICCIC.2014.7238493

Otsu's method for clip limiting histograms for contrast enhancement of digital mammograms. / Sujit, Sheeba Jenifer; Parasuraman, Subramaniam; Kadirvelu, Amudha.
Proceedings of the 2014 IEEE International Conference on Computational Intelligence and Computing Research. ed. / N Krishnan; M Karthikeyan. New Jersey USA: IEEE, Institute of Electrical and Electronics Engineers, 2015. p. 1 - 4.

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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AB - 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.

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Sujit SJ, Parasuraman S, Kadirvelu A. Otsu's method for clip limiting histograms for contrast enhancement of digital mammograms. In Krishnan N, Karthikeyan M, editors, Proceedings of the 2014 IEEE International Conference on Computational Intelligence and Computing Research. New Jersey USA: IEEE, Institute of Electrical and Electronics Engineers. 2015. p. 1 - 4 doi: 10.1109/ICCIC.2014.7238493