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- W2351471121 abstract "The optimal entropy thresholding is one of the most popular algorithms in use of image segmentation,however,it needs a lot of computation time which limits its application.Ant colony optimization algorithm(ACO) was recently proposed algorithm,which has been successfully applied to solve many combinatorial optimization problems.On the analysis of optimal entropy,we are aware that threshold selection can be viewed as a combinatorial optimization problem.Thus,we introduce a new method to select image threshold automatically based on ACO algorithm.The performance of this algorithm is compared with optimal entropy,and experimental results show that ACO algorithm can not only determine the optimal threshold,but aoso improve the efficiency of image segmentation." @default.
- W2351471121 created "2016-06-24" @default.
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- W2351471121 date "2007-01-01" @default.
- W2351471121 modified "2023-09-23" @default.
- W2351471121 title "Optimal Entropy Thresholding Image Segmentation Based on Ant Colony Optimization algorithm" @default.
- W2351471121 hasPublicationYear "2007" @default.
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