{"title":"Wigner纹理识别模型的研究","authors":"Y.M. Zhu, Y. Gao, R. Goutte","doi":"10.1109/TFTSA.1992.274122","DOIUrl":null,"url":null,"abstract":"The generic issue of texture discrimination using spectral methods is addressed. A computational method based on exploiting local spectral information of the image is presented. The method is based on the use of a two-dimensional Wigner distribution which allows a precise tracking in space of the frequency characteristics of an image. Performance is illustrated for a synthesized image and for natural textures. Potential applications are discussed.<<ETX>>","PeriodicalId":105228,"journal":{"name":"[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis","volume":"566 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1992-10-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"An investigation of the Wigner model for texture discrimination\",\"authors\":\"Y.M. Zhu, Y. Gao, R. Goutte\",\"doi\":\"10.1109/TFTSA.1992.274122\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The generic issue of texture discrimination using spectral methods is addressed. A computational method based on exploiting local spectral information of the image is presented. The method is based on the use of a two-dimensional Wigner distribution which allows a precise tracking in space of the frequency characteristics of an image. Performance is illustrated for a synthesized image and for natural textures. Potential applications are discussed.<<ETX>>\",\"PeriodicalId\":105228,\"journal\":{\"name\":\"[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis\",\"volume\":\"566 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1992-10-04\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/TFTSA.1992.274122\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"[1992] Proceedings of the IEEE-SP International Symposium on Time-Frequency and Time-Scale Analysis","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TFTSA.1992.274122","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
An investigation of the Wigner model for texture discrimination
The generic issue of texture discrimination using spectral methods is addressed. A computational method based on exploiting local spectral information of the image is presented. The method is based on the use of a two-dimensional Wigner distribution which allows a precise tracking in space of the frequency characteristics of an image. Performance is illustrated for a synthesized image and for natural textures. Potential applications are discussed.<>