Image Processing

New entropic thresholding approach using gray-level spatial correlation histogram

[+] Author Affiliations
Yang Xiao

Huazhong University of Science and Technology, National Key Laboratory of Science and Technology on Multispectral Information Processing, Institute for Pattern Recognition and Artificial Intelligence, Wuhan, 430074, China

Zhiguo Cao

Huazhong University of Science and Technology, National Key Laboratory of Science and Technology on Multispectral Information Processing, Institute for Pattern Recognition and Artificial Intelligence, Wuhan, 430074, China

Sheng Zhong

Huazhong University of Science and Technology, National Key Laboratory of Science and Technology on Multispectral Information Processing, Institute for Pattern Recognition and Artificial Intelligence, Wuhan, 430074, China

Opt. Eng. 49(12), 127007 (December 28, 2010). doi:10.1117/1.3526333
History: Received June 04, 2010; Revised October 29, 2010; Accepted October 29, 2010; Published December 28, 2010; Online December 28, 2010
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Two-dimensional entropic thresholding methods apply gray-level spatial correlation to thresholding and achieve much better performance than 1-D methods, while suffering from large time consumption. To utilize gray-level spatial correlation in thresholding with less time consumption, we define and describe a new entropic thresholding approach employing the gray-level spatial correlation (GLSC) histogram. The GLSC histogram is determined using the gray value of the pixels and the number of their neighboring pixels of similar gray value, which is different from a 2-D histogram. During the entropic criterion function computation, the entropy yielded by different elements in the GLSC histogram is weighted by a nonlinear weighting function, which we suggest. In the experiment, Kapur's 1-D method and three 2-D methods reported by Abutaleb and Sahoo are employed for comparision. Experiments on many real-world images demonstrate that the proposed method yields equivalent or even better results than 2-D ones while saving time remarkably and significantly outperforms Kapur's 1-D method without too much more time consumption generally.

© 2010 Society of Photo-Optical Instrumentation Engineers

Citation

Yang Xiao ; Zhiguo Cao and Sheng Zhong
"New entropic thresholding approach using gray-level spatial correlation histogram", Opt. Eng. 49(12), 127007 (December 28, 2010). ; http://dx.doi.org/10.1117/1.3526333


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