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| Image Segmentation Based on Subsethood Measure Theory |
| WU ChengMao |
| Department of Electronic and Information Engineering, Xi'an Institute of Posts and Telecommunications, Xi'an 710121 |
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Abstract In this paper, an image segmentation method based on subsethood measure theory of fuzzy set is proposed. Because of the subjective of human vision and the uncertainty of image structure, fuzzy techniques are used in image segmentation. Firstly, the subsethood measure theory of fuzzy set is introduced. Then the new criteria function of image segmentation threshold choosing is defined on the basis of fuzzy subsethood theory. Finally, the optimal method for choosing parameters of fuzzy membership is presented based on mutual information and Chaos theory. Experimental results show that the image thresholding segmentation method based on subsethood measure theory is feasible, and its segmentation performance is obviously better than that of thresholding method based on fuzzy entropy or similarity measure.
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Received: 05 June 2006
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2007, Vol. 20 
