Vittorio Murino, C. Ottonello, S. Pagnan, A. Trucco
{"title":"纹理分析:基于自相关和基于累积量方法的比较","authors":"Vittorio Murino, C. Ottonello, S. Pagnan, A. Trucco","doi":"10.5281/ZENODO.36047","DOIUrl":null,"url":null,"abstract":"In this paper the use of 3rd-order cumulants, i.e. triple correlations, is proposed for texture analysis. Properties of such features are derived, with particular attention to insensitivity to symmetrically distributed noises and statistical estimate stabilility. Experimental evaluation of 3rd-order cumulants as descriptive features for textures is carried out in comparison with autocorrelation-based approaches.","PeriodicalId":282153,"journal":{"name":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1996-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Texture analysis: Comparison of autocorrelation-based with cumulant-based approaches\",\"authors\":\"Vittorio Murino, C. Ottonello, S. Pagnan, A. Trucco\",\"doi\":\"10.5281/ZENODO.36047\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this paper the use of 3rd-order cumulants, i.e. triple correlations, is proposed for texture analysis. Properties of such features are derived, with particular attention to insensitivity to symmetrically distributed noises and statistical estimate stabilility. Experimental evaluation of 3rd-order cumulants as descriptive features for textures is carried out in comparison with autocorrelation-based approaches.\",\"PeriodicalId\":282153,\"journal\":{\"name\":\"1996 8th European Signal Processing Conference (EUSIPCO 1996)\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"1996 8th European Signal Processing Conference (EUSIPCO 1996)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.5281/ZENODO.36047\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"1996 8th European Signal Processing Conference (EUSIPCO 1996)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.5281/ZENODO.36047","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Texture analysis: Comparison of autocorrelation-based with cumulant-based approaches
In this paper the use of 3rd-order cumulants, i.e. triple correlations, is proposed for texture analysis. Properties of such features are derived, with particular attention to insensitivity to symmetrically distributed noises and statistical estimate stabilility. Experimental evaluation of 3rd-order cumulants as descriptive features for textures is carried out in comparison with autocorrelation-based approaches.