I. Sztojanov, Vasilica Voinea, Catalina Popescu-Mina
{"title":"生物系统分类中的图像处理","authors":"I. Sztojanov, Vasilica Voinea, Catalina Popescu-Mina","doi":"10.1109/SOFA.2007.4318301","DOIUrl":null,"url":null,"abstract":"The article discusses problems of classification based on the fractal theory with applications in biology. Here are introduced the necessary notions for defining and quantitative evaluation of fractals and an algorithm for fractal dimension computation based on biofractal contours processing is also proposed/ presented. The actual application is dedicated to the analyse the particularities of some species from Gentianaceae family, with the purpose of establishing their affiliation to the Gentina genus, knowing the fact that, up to the present, there had been used only evaluations based on the distinctive morphological characteristics. The results are encouraging for the development of fractal techniques not only in botanic, but in other biology domains.","PeriodicalId":205589,"journal":{"name":"2007 2nd International Workshop on Soft Computing Applications","volume":"180 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2007-09-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Image Processing for Classification in Biology Systems\",\"authors\":\"I. Sztojanov, Vasilica Voinea, Catalina Popescu-Mina\",\"doi\":\"10.1109/SOFA.2007.4318301\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The article discusses problems of classification based on the fractal theory with applications in biology. Here are introduced the necessary notions for defining and quantitative evaluation of fractals and an algorithm for fractal dimension computation based on biofractal contours processing is also proposed/ presented. The actual application is dedicated to the analyse the particularities of some species from Gentianaceae family, with the purpose of establishing their affiliation to the Gentina genus, knowing the fact that, up to the present, there had been used only evaluations based on the distinctive morphological characteristics. The results are encouraging for the development of fractal techniques not only in botanic, but in other biology domains.\",\"PeriodicalId\":205589,\"journal\":{\"name\":\"2007 2nd International Workshop on Soft Computing Applications\",\"volume\":\"180 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2007-09-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2007 2nd International Workshop on Soft Computing Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SOFA.2007.4318301\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2007 2nd International Workshop on Soft Computing Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SOFA.2007.4318301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Image Processing for Classification in Biology Systems
The article discusses problems of classification based on the fractal theory with applications in biology. Here are introduced the necessary notions for defining and quantitative evaluation of fractals and an algorithm for fractal dimension computation based on biofractal contours processing is also proposed/ presented. The actual application is dedicated to the analyse the particularities of some species from Gentianaceae family, with the purpose of establishing their affiliation to the Gentina genus, knowing the fact that, up to the present, there had been used only evaluations based on the distinctive morphological characteristics. The results are encouraging for the development of fractal techniques not only in botanic, but in other biology domains.