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Proceedings Paper

Median-based thresholding, minimum error thresholding, and their relationships with histogram-based image similarity
Author(s): Yaobin Zou; Lulu Fang; Fangmin Dong; Bangjun Lei; Shuifa Sun; Tingyao Jiang; Peng Chen
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Paper Abstract

A popular histogram-based thresholding method is minimum error thresholding (MET) proposed by Kittler and Illingworth [Minimum error thresholding, Pattern Recognition 19 (1) (1986) 41-47], whereas Xue and Titterington recently proposed a median-based thresholding (MBT) [Median-based image thresholding, Image and Vision Computing 29 (9) (2011) 631-637]. Both MET and MBT can be derived from the maximization of log-likelihood. In this paper, we present a different theoretical interpretation about MBT and MET, from the perspective of minimizing Kullback-Leibler (KL) divergence. Since the KL divergence is a measure of the difference between two probability distributions, it is reasonable to regard MET and MBT as the special applications of histogram-based image similarity (HBIS) in the image thresholding. Further, it is natural to suggest a more universal image thresholding framework based on image similarity concept, since HBIS is just one of many image similarity methodologies. This thresholding framework directly transforms the threshold determining problem into an image comparison issue. Its significance is that it provides a concise and clear theoretical framework for developing potential thresholding methods with the plentiful image similarity theories.

Paper Details

Date Published: 16 April 2014
PDF: 5 pages
Proc. SPIE 9159, Sixth International Conference on Digital Image Processing (ICDIP 2014), 915915 (16 April 2014); doi: 10.1117/12.2064335
Show Author Affiliations
Yaobin Zou, China Three Gorges Univ. (China)
Lulu Fang, China Three Gorges Univ. (China)
Fangmin Dong, China Three Gorges Univ. (China)
Bangjun Lei, China Three Gorges Univ. (China)
Shuifa Sun, China Three Gorges Univ. (China)
Tingyao Jiang, China Three Gorges Univ. (China)
Peng Chen, China Three Gorges Univ. (China)

Published in SPIE Proceedings Vol. 9159:
Sixth International Conference on Digital Image Processing (ICDIP 2014)
Charles M. Falco; Chin-Chen Chang; Xudong Jiang, Editor(s)

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