{"title":"泽尼克矩的比较研究","authors":"T. Lin, Yun-Feng Chou","doi":"10.1109/WI.2003.1241255","DOIUrl":null,"url":null,"abstract":"Effective image retrieval by content requires that visual image properties are used instead of textual labels to properly index pictorial data. Shape is one of the primary low-level image features. Many shape representations had been proposed. The Zernike moment descriptor is the most suitable for shape similar-based retrieval in terms of computation complexity, compact representation, robustness, and retrieval performance. We study the first 36 Zernike moments and find the dependence relations between them. A new compact representation is proposed to replace the old one. It is not only saving storage capacity but also reducing the execution time of index generation.","PeriodicalId":403574,"journal":{"name":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","volume":"71 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2003-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"31","resultStr":"{\"title\":\"A comparative study of Zernike moments\",\"authors\":\"T. Lin, Yun-Feng Chou\",\"doi\":\"10.1109/WI.2003.1241255\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Effective image retrieval by content requires that visual image properties are used instead of textual labels to properly index pictorial data. Shape is one of the primary low-level image features. Many shape representations had been proposed. The Zernike moment descriptor is the most suitable for shape similar-based retrieval in terms of computation complexity, compact representation, robustness, and retrieval performance. We study the first 36 Zernike moments and find the dependence relations between them. A new compact representation is proposed to replace the old one. It is not only saving storage capacity but also reducing the execution time of index generation.\",\"PeriodicalId\":403574,\"journal\":{\"name\":\"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)\",\"volume\":\"71 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2003-10-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"31\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WI.2003.1241255\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings IEEE/WIC International Conference on Web Intelligence (WI 2003)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WI.2003.1241255","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Effective image retrieval by content requires that visual image properties are used instead of textual labels to properly index pictorial data. Shape is one of the primary low-level image features. Many shape representations had been proposed. The Zernike moment descriptor is the most suitable for shape similar-based retrieval in terms of computation complexity, compact representation, robustness, and retrieval performance. We study the first 36 Zernike moments and find the dependence relations between them. A new compact representation is proposed to replace the old one. It is not only saving storage capacity but also reducing the execution time of index generation.
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