{"title":"One-click lattice extraction from near-regular texture","authors":"Kevin Sookocheff, D. Mould","doi":"10.1145/1101389.1101440","DOIUrl":null,"url":null,"abstract":"We present a method for extracting a lattice from near-regular texture. Our method demands minimal user intervention, needing a single mouse click to select a typical texton. The algorithm follows a four-step approach. First, an estimate of texton size is obtained by considering the spacing of peaks in the auto-correlation of the texture. Second, a sample of the image around the user-selected texton is correlated with the image. Third, the resulting correlation surface is converted to a map of potential texton centres using non-maximal suppression. Finally, the maxima are formed into a graph by connecting potential texton centres. We have found the method robust in the face of significant changes in pixel intensity and geometric structure between textons.","PeriodicalId":286067,"journal":{"name":"Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia","volume":"58 3 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2005-11-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 3rd international conference on Computer graphics and interactive techniques in Australasia and South East Asia","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/1101389.1101440","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
We present a method for extracting a lattice from near-regular texture. Our method demands minimal user intervention, needing a single mouse click to select a typical texton. The algorithm follows a four-step approach. First, an estimate of texton size is obtained by considering the spacing of peaks in the auto-correlation of the texture. Second, a sample of the image around the user-selected texton is correlated with the image. Third, the resulting correlation surface is converted to a map of potential texton centres using non-maximal suppression. Finally, the maxima are formed into a graph by connecting potential texton centres. We have found the method robust in the face of significant changes in pixel intensity and geometric structure between textons.