New entropic thresholding approach using gray-level spatial correlation histogram

Yang Xiao; Zhiguo Cao; Sheng Zhong

doi:10.1117/1.3526333

1 December 2010 New entropic thresholding approach using gray-level spatial correlation histogram

Yang Xiao, Zhiguo Cao, Sheng Zhong

Author Affiliations +

Optical Engineering, Vol. 49, Issue 12, 127007 (December 2010). https://doi.org/10.1117/1.3526333

Abstract

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 (SPIE)

Citation Download Citation

Yang Xiao, Zhiguo Cao, and Sheng Zhong "New entropic thresholding approach using gray-level spatial correlation histogram," Optical Engineering 49(12), 127007 (1 December 2010). https://doi.org/10.1117/1.3526333

Published: 1 December 2010

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