The decision of the optimal parameters in Markov random fields of images by genetic algorithm |
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| Authors: | Zheng Zhaobao Zheng Hong |
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| Institution: | School of Information Engineering , WTUSM , Wuhan , China |
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| Abstract: | This paper introduces the principle of genetic algorithm and the basic method of solving Markov random field parameters. Focusing on the shortcomings in present methods, a new method based on genetic algorithms is proposed to solve the parameters in the Markov random field. The detailed procedure is discussed. On the basis of the parameters solved by genetic algorithms, some experiments on classification of aerial images are given. Experimental results show that the proposed method is effective and the classification results are satisfactory. |
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| Keywords: | genetic algorithm markov random field parameter optimum texture classification |
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