{"title":"三角网格图像重构的最大流量最小代价算法","authors":"Elisa Valentina Moisi, B. Nagy, V. Cretu","doi":"10.1109/SACI.2013.6608993","DOIUrl":null,"url":null,"abstract":"We present an algorithm for reconstruction of binary images represented on the triangular grid. The algorithm takes into consideration the three natural projections on the triangular grid and uses the maximum flow minimum cost algorithm for the reconstruction of the image. For testing our algorithm we used some artificial binary hexagon shaped images.","PeriodicalId":304729,"journal":{"name":"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)","volume":"21 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-05-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"Maximum flow minimum cost algorithm for reconstruction of images represented on the triangular grid\",\"authors\":\"Elisa Valentina Moisi, B. Nagy, V. Cretu\",\"doi\":\"10.1109/SACI.2013.6608993\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"We present an algorithm for reconstruction of binary images represented on the triangular grid. The algorithm takes into consideration the three natural projections on the triangular grid and uses the maximum flow minimum cost algorithm for the reconstruction of the image. For testing our algorithm we used some artificial binary hexagon shaped images.\",\"PeriodicalId\":304729,\"journal\":{\"name\":\"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"volume\":\"21 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-05-23\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/SACI.2013.6608993\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2013 IEEE 8th International Symposium on Applied Computational Intelligence and Informatics (SACI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/SACI.2013.6608993","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Maximum flow minimum cost algorithm for reconstruction of images represented on the triangular grid
We present an algorithm for reconstruction of binary images represented on the triangular grid. The algorithm takes into consideration the three natural projections on the triangular grid and uses the maximum flow minimum cost algorithm for the reconstruction of the image. For testing our algorithm we used some artificial binary hexagon shaped images.