An Improved Entropy Function and Chaos Optimization Based Scheme for Two-Dimensional Entropic Image Segmentation

Authors:
Cheng Ma;Chengshun Jiang
Affiliations:
Institute of Information Engineering, Information Engineering University, Zhengzhou, 450002, China;Institute of Information Engineering, Information Engineering University, Zhengzhou, 450002, China
Venue:
Computational Intelligence and Security
Year:
2007

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Automatic thresholding of gray-level pictures using two-dimensional entropy

Computer Vision, Graphics, and Image Processing
Two-dimensional entropic segmentation

Non-Linear Analysis

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Abstract

An improved two-dimensional entropic image segmentation method is presented in this paper. The method makes use of a new entropy function defined in a simple form, which can reduce computational amount notably. And the correctness of the new function is also proved. Then a scheme based on mutative scale chaos optimization is adopted to search for the optimal threshold. The results of simulation illustrate that efficiency of segmentation is improved significantly due to the new entropy function and searching method.