{"title":"计算机视觉中的对称算子","authors":"Vito Di Gesù, Cesare Valenti","doi":"10.1016/S0083-6656(96)00030-X","DOIUrl":null,"url":null,"abstract":"<div><p>Symmetry plays a remarkable role in perception problems. For example, peaks of brain activity are measured in correspondence with visual patterns showing <em>symmetry</em>. Relevance of symmetry in vision was already noted by Köler in 1929. Here, properties of a symmetry operator are reported and a new algorithm to measure local symmetries is proposed. Its performance is tested on segmentation of complex visual patterns and the classification of <em>sparse</em> images.</p></div>","PeriodicalId":101275,"journal":{"name":"Vistas in Astronomy","volume":"40 4","pages":"Pages 461-468"},"PeriodicalIF":0.0000,"publicationDate":"1996-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/S0083-6656(96)00030-X","citationCount":"39","resultStr":"{\"title\":\"Symmetry operators in computer vision\",\"authors\":\"Vito Di Gesù, Cesare Valenti\",\"doi\":\"10.1016/S0083-6656(96)00030-X\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Symmetry plays a remarkable role in perception problems. For example, peaks of brain activity are measured in correspondence with visual patterns showing <em>symmetry</em>. Relevance of symmetry in vision was already noted by Köler in 1929. Here, properties of a symmetry operator are reported and a new algorithm to measure local symmetries is proposed. Its performance is tested on segmentation of complex visual patterns and the classification of <em>sparse</em> images.</p></div>\",\"PeriodicalId\":101275,\"journal\":{\"name\":\"Vistas in Astronomy\",\"volume\":\"40 4\",\"pages\":\"Pages 461-468\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1996-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/S0083-6656(96)00030-X\",\"citationCount\":\"39\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Vistas in Astronomy\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S008366569600030X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Vistas in Astronomy","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S008366569600030X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Symmetry plays a remarkable role in perception problems. For example, peaks of brain activity are measured in correspondence with visual patterns showing symmetry. Relevance of symmetry in vision was already noted by Köler in 1929. Here, properties of a symmetry operator are reported and a new algorithm to measure local symmetries is proposed. Its performance is tested on segmentation of complex visual patterns and the classification of sparse images.