Computer Science ›› 2010, Vol. 37 ›› Issue (8): 253-256.
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WANG Zuo-cheng,ZHANG Fei-zhou,XUE Li-xia
Online:
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Abstract: Based on fuzzy set theory and cloud theory, fuzzy edge detection algorithm based on object cloud, OCFD was proposed. Considering the fuzzy and random characteristics of image,OCFI)constructed the mapping model between image space and cloud space by the representation methods of uncertain object cloud in image. According to the mapping model, object cloud and edge cloud could be generated. Mapping from image space to cloud space could be accomplished based on object cloud and edge cloud. I3y logical cloud calculating in cloud space,the algorithm of transition region detection was proposed. Based on maximum fuzzy entropy principle, edge detection in transition region could be accompushed. Experiments demonstrate that OCFD exhibits a considerable improvement in performance compared with both Fuzzy Gmean and Pal. King. The algorithm proposes a new idea for image comprehending and analyzing. It enriches and extends the cloud theory.
Key words: Edge detection, Cloud model, Object cloud, Cloud space mapping, Entropy
WANG Zuo-cheng,ZHANG Fei-zhou,XUE Li-xia. Fuzzy Edge Detection Algorithm of Image Based on Cloud Space and Fuzzy Entropy[J].Computer Science, 2010, 37(8): 253-256.
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