{"title":"新方法:i -遗传算法分类陨石坑","authors":"R. Krishnan, A. Dharani","doi":"10.1109/ICCSP.2015.7322881","DOIUrl":null,"url":null,"abstract":"Generally object detection using genetic algorithm in images will consider all pixels of the images for cross over procedure, it is time consuming and expensive in nature. Here the I-Genetic algorithm considers the intensity values of the object interest for classification, so the considerations of all pixels are eliminated which improves execution time as well as object detection. The I-Genetic algorithm considers the intensity values of the object interest for cross over operation.","PeriodicalId":174192,"journal":{"name":"2015 International Conference on Communications and Signal Processing (ICCSP)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-04-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"The new approach: I-Genetic algorithm for classification of craters\",\"authors\":\"R. Krishnan, A. Dharani\",\"doi\":\"10.1109/ICCSP.2015.7322881\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Generally object detection using genetic algorithm in images will consider all pixels of the images for cross over procedure, it is time consuming and expensive in nature. Here the I-Genetic algorithm considers the intensity values of the object interest for classification, so the considerations of all pixels are eliminated which improves execution time as well as object detection. The I-Genetic algorithm considers the intensity values of the object interest for cross over operation.\",\"PeriodicalId\":174192,\"journal\":{\"name\":\"2015 International Conference on Communications and Signal Processing (ICCSP)\",\"volume\":\"49 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-04-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2015 International Conference on Communications and Signal Processing (ICCSP)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCSP.2015.7322881\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 International Conference on Communications and Signal Processing (ICCSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSP.2015.7322881","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The new approach: I-Genetic algorithm for classification of craters
Generally object detection using genetic algorithm in images will consider all pixels of the images for cross over procedure, it is time consuming and expensive in nature. Here the I-Genetic algorithm considers the intensity values of the object interest for classification, so the considerations of all pixels are eliminated which improves execution time as well as object detection. The I-Genetic algorithm considers the intensity values of the object interest for cross over operation.
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