{"title":"六边形图像结构的快速边缘地图金字塔","authors":"B. Gardiner, S. Coleman, B. Scotney","doi":"10.1109/IMVIP.2009.15","DOIUrl":null,"url":null,"abstract":"Improving the computational efficiency of image processing tasks has become a dominant issue with the ultimate goal of real-time processing. One solution to improve efficiency is the use of a hexagonal image representation and we present an approach to feature extraction on hexagonal images using an edge map pyramid approach that further reduces the computational cost. The efficient performance of this approach is demonstrated by comparing run-times for obtaining edge maps by applying multi-scale operators directly to hexagonal images with the edge map pyramid approach.","PeriodicalId":179564,"journal":{"name":"2009 13th International Machine Vision and Image Processing Conference","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2009-09-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Fast Edge Map Pyramids for Hexagonal Image Structures\",\"authors\":\"B. Gardiner, S. Coleman, B. Scotney\",\"doi\":\"10.1109/IMVIP.2009.15\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Improving the computational efficiency of image processing tasks has become a dominant issue with the ultimate goal of real-time processing. One solution to improve efficiency is the use of a hexagonal image representation and we present an approach to feature extraction on hexagonal images using an edge map pyramid approach that further reduces the computational cost. The efficient performance of this approach is demonstrated by comparing run-times for obtaining edge maps by applying multi-scale operators directly to hexagonal images with the edge map pyramid approach.\",\"PeriodicalId\":179564,\"journal\":{\"name\":\"2009 13th International Machine Vision and Image Processing Conference\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-09-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 13th International Machine Vision and Image Processing Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMVIP.2009.15\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 13th International Machine Vision and Image Processing Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMVIP.2009.15","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Fast Edge Map Pyramids for Hexagonal Image Structures
Improving the computational efficiency of image processing tasks has become a dominant issue with the ultimate goal of real-time processing. One solution to improve efficiency is the use of a hexagonal image representation and we present an approach to feature extraction on hexagonal images using an edge map pyramid approach that further reduces the computational cost. The efficient performance of this approach is demonstrated by comparing run-times for obtaining edge maps by applying multi-scale operators directly to hexagonal images with the edge map pyramid approach.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
