{"title":"基于多分辨率b样条小波的分形分割","authors":"V. Anh, F. Gras, H. Tsui","doi":"10.1109/ISSPA.1996.615110","DOIUrl":null,"url":null,"abstract":"Ihis paper presents a new method for obtaining high-resolution xlges of a natural image. The algorithm is based on the estimation 3f the local fractal dimension (FD) of the image using its local spectral density computed from the Fourier-wavelet transform. Using our high-resolution FD map, the FD and edge information is integrated into a region gowing algorithm for segmentation of nasural and real images. The efficiency of the method is illustrated on five real images.","PeriodicalId":359344,"journal":{"name":"Fourth International Symposium on Signal Processing and Its Applications","volume":"32 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Fractal Segmentation Using Multiresolution B-spline Wavelets\",\"authors\":\"V. Anh, F. Gras, H. Tsui\",\"doi\":\"10.1109/ISSPA.1996.615110\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Ihis paper presents a new method for obtaining high-resolution xlges of a natural image. The algorithm is based on the estimation 3f the local fractal dimension (FD) of the image using its local spectral density computed from the Fourier-wavelet transform. Using our high-resolution FD map, the FD and edge information is integrated into a region gowing algorithm for segmentation of nasural and real images. The efficiency of the method is illustrated on five real images.\",\"PeriodicalId\":359344,\"journal\":{\"name\":\"Fourth International Symposium on Signal Processing and Its Applications\",\"volume\":\"32 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Fourth International Symposium on Signal Processing and Its Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ISSPA.1996.615110\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Fourth International Symposium on Signal Processing and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ISSPA.1996.615110","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fractal Segmentation Using Multiresolution B-spline Wavelets
Ihis paper presents a new method for obtaining high-resolution xlges of a natural image. The algorithm is based on the estimation 3f the local fractal dimension (FD) of the image using its local spectral density computed from the Fourier-wavelet transform. Using our high-resolution FD map, the FD and edge information is integrated into a region gowing algorithm for segmentation of nasural and real images. The efficiency of the method is illustrated on five real images.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
