{"title":"基于二维Fisher和混沌粒子群优化算法的图像分割","authors":"Z. Ye, Xin Zhou, Zhengbing Hu, Bin Xia","doi":"10.1109/IEEC.2010.5533232","DOIUrl":null,"url":null,"abstract":"Aimed at solving the deficiencies of having great computation and local optimum, a chaos particle swarm optimization algorithm which has the properties of ergodicity, randomicity and regularity is proposed to solve the optimization problems cited from pattern recognition, and a new method of image segmentation using two-dimensional histogram based on Fisher criterion function is put forward. According to the experiment, it verifies that the method of chaos particle swarm optimization can improve the efficiency and accuracy of 2-D fisher method based on traditional PSO.","PeriodicalId":307678,"journal":{"name":"2010 2nd International Symposium on Information Engineering and Electronic Commerce","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-07-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Image Segmentation Based on 2-D Fisher and Chaos Particle Swarm Optimization Algorithm\",\"authors\":\"Z. Ye, Xin Zhou, Zhengbing Hu, Bin Xia\",\"doi\":\"10.1109/IEEC.2010.5533232\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Aimed at solving the deficiencies of having great computation and local optimum, a chaos particle swarm optimization algorithm which has the properties of ergodicity, randomicity and regularity is proposed to solve the optimization problems cited from pattern recognition, and a new method of image segmentation using two-dimensional histogram based on Fisher criterion function is put forward. According to the experiment, it verifies that the method of chaos particle swarm optimization can improve the efficiency and accuracy of 2-D fisher method based on traditional PSO.\",\"PeriodicalId\":307678,\"journal\":{\"name\":\"2010 2nd International Symposium on Information Engineering and Electronic Commerce\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-07-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 2nd International Symposium on Information Engineering and Electronic Commerce\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IEEC.2010.5533232\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 2nd International Symposium on Information Engineering and Electronic Commerce","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IEEC.2010.5533232","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image Segmentation Based on 2-D Fisher and Chaos Particle Swarm Optimization Algorithm
Aimed at solving the deficiencies of having great computation and local optimum, a chaos particle swarm optimization algorithm which has the properties of ergodicity, randomicity and regularity is proposed to solve the optimization problems cited from pattern recognition, and a new method of image segmentation using two-dimensional histogram based on Fisher criterion function is put forward. According to the experiment, it verifies that the method of chaos particle swarm optimization can improve the efficiency and accuracy of 2-D fisher method based on traditional PSO.
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