{"title":"基于SUSAN初始边缘响应的矩不变性","authors":"Guo Ping Xiong, Jian Gang Tang","doi":"10.1109/ISCID.2014.20","DOIUrl":null,"url":null,"abstract":"In view of problem that it usually lacks of fusion depth to combine moment invariants with other extraction technology on local invariant features, this article proposes the moment invariants based on SUSAN initial edge response, which provides a sort of organic integration for moment invariants and SUSAN edge detection algorithm. The combination point is to treat SUSAN initial edge response matrix as gray scale matrix, then to calculate its corresponding moment invariants. Experiments show that the recall and precision of retrieval algorithm based on the above moment invariants will become satisfied as soon as the quality of retrieval results reaches to a critical value, and the moment invariants reflect certain invariance about affine transformation and illumination change.","PeriodicalId":385391,"journal":{"name":"2014 Seventh International Symposium on Computational Intelligence and Design","volume":"198 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Moment Invariants Based on SUSAN Initial Edge Response\",\"authors\":\"Guo Ping Xiong, Jian Gang Tang\",\"doi\":\"10.1109/ISCID.2014.20\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In view of problem that it usually lacks of fusion depth to combine moment invariants with other extraction technology on local invariant features, this article proposes the moment invariants based on SUSAN initial edge response, which provides a sort of organic integration for moment invariants and SUSAN edge detection algorithm. The combination point is to treat SUSAN initial edge response matrix as gray scale matrix, then to calculate its corresponding moment invariants. Experiments show that the recall and precision of retrieval algorithm based on the above moment invariants will become satisfied as soon as the quality of retrieval results reaches to a critical value, and the moment invariants reflect certain invariance about affine transformation and illumination change.\",\"PeriodicalId\":385391,\"journal\":{\"name\":\"2014 Seventh International Symposium on Computational Intelligence and Design\",\"volume\":\"198 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-12-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 Seventh International Symposium on Computational Intelligence and Design\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISCID.2014.20\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 Seventh International Symposium on Computational Intelligence and Design","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISCID.2014.20","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Moment Invariants Based on SUSAN Initial Edge Response
In view of problem that it usually lacks of fusion depth to combine moment invariants with other extraction technology on local invariant features, this article proposes the moment invariants based on SUSAN initial edge response, which provides a sort of organic integration for moment invariants and SUSAN edge detection algorithm. The combination point is to treat SUSAN initial edge response matrix as gray scale matrix, then to calculate its corresponding moment invariants. Experiments show that the recall and precision of retrieval algorithm based on the above moment invariants will become satisfied as soon as the quality of retrieval results reaches to a critical value, and the moment invariants reflect certain invariance about affine transformation and illumination change.