{"title":"基于免疫算法的图像几何基元提取方法","authors":"Zhi Jun, Liu Jian-yong, Fu Cheng-qun","doi":"10.1109/BICTA.2009.5338128","DOIUrl":null,"url":null,"abstract":"The paper draws lessons from the ripe tolerance course and clone selection course of immune cell and introduces immune algorithm (IA) to the problem of extracting geometric primitives. It makes a detailed instruction of the method implementation based on IA which takes ellipse extraction as an example. The compared experiment and analyses with RHT and SGA algorithm proves that the method has quick convergent speed and strong anti-interference ability when there are more noises. The ellipse extraction of the image shows the extensive suitability and practical value of the algorithm.","PeriodicalId":161787,"journal":{"name":"2009 Fourth International on Conference on Bio-Inspired Computing","volume":"41 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Method of extracting image geometric primitives based on immune algorithm\",\"authors\":\"Zhi Jun, Liu Jian-yong, Fu Cheng-qun\",\"doi\":\"10.1109/BICTA.2009.5338128\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper draws lessons from the ripe tolerance course and clone selection course of immune cell and introduces immune algorithm (IA) to the problem of extracting geometric primitives. It makes a detailed instruction of the method implementation based on IA which takes ellipse extraction as an example. The compared experiment and analyses with RHT and SGA algorithm proves that the method has quick convergent speed and strong anti-interference ability when there are more noises. The ellipse extraction of the image shows the extensive suitability and practical value of the algorithm.\",\"PeriodicalId\":161787,\"journal\":{\"name\":\"2009 Fourth International on Conference on Bio-Inspired Computing\",\"volume\":\"41 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 Fourth International on Conference on Bio-Inspired Computing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/BICTA.2009.5338128\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 Fourth International on Conference on Bio-Inspired Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/BICTA.2009.5338128","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Method of extracting image geometric primitives based on immune algorithm
The paper draws lessons from the ripe tolerance course and clone selection course of immune cell and introduces immune algorithm (IA) to the problem of extracting geometric primitives. It makes a detailed instruction of the method implementation based on IA which takes ellipse extraction as an example. The compared experiment and analyses with RHT and SGA algorithm proves that the method has quick convergent speed and strong anti-interference ability when there are more noises. The ellipse extraction of the image shows the extensive suitability and practical value of the algorithm.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
