{"title":"一种用于目标识别的轮廓捕捉系统并行算法","authors":"A. Gopal, S. Patil, A. Nikam","doi":"10.1109/IADCC.2010.5423046","DOIUrl":null,"url":null,"abstract":"Computer vision involves image edge detection which is crucial in outline capturing systems for decomposing and describing an object. This paper presents a scalable parallel algorithm skeleton for outline capturing and object recognition based on first order difference chain encoding. UNIX based Intel Xeon 2-Quadra-Core system is used for the implementation of the parallel algorithm. The algorithm complexity of the averaging process is independent of the size of image and, the speedup of the proposed parallel algorithm is observed to be near linear. The parallel processing approach presented here can be extended to solve similar problems such as, image representation, restoration, compression, matching etc.","PeriodicalId":249763,"journal":{"name":"2010 IEEE 2nd International Advance Computing Conference (IACC)","volume":"75 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A parallel algorithm for outline capturing system for object recognition\",\"authors\":\"A. Gopal, S. Patil, A. Nikam\",\"doi\":\"10.1109/IADCC.2010.5423046\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Computer vision involves image edge detection which is crucial in outline capturing systems for decomposing and describing an object. This paper presents a scalable parallel algorithm skeleton for outline capturing and object recognition based on first order difference chain encoding. UNIX based Intel Xeon 2-Quadra-Core system is used for the implementation of the parallel algorithm. The algorithm complexity of the averaging process is independent of the size of image and, the speedup of the proposed parallel algorithm is observed to be near linear. The parallel processing approach presented here can be extended to solve similar problems such as, image representation, restoration, compression, matching etc.\",\"PeriodicalId\":249763,\"journal\":{\"name\":\"2010 IEEE 2nd International Advance Computing Conference (IACC)\",\"volume\":\"75 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 IEEE 2nd International Advance Computing Conference (IACC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IADCC.2010.5423046\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2010 IEEE 2nd International Advance Computing Conference (IACC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IADCC.2010.5423046","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A parallel algorithm for outline capturing system for object recognition
Computer vision involves image edge detection which is crucial in outline capturing systems for decomposing and describing an object. This paper presents a scalable parallel algorithm skeleton for outline capturing and object recognition based on first order difference chain encoding. UNIX based Intel Xeon 2-Quadra-Core system is used for the implementation of the parallel algorithm. The algorithm complexity of the averaging process is independent of the size of image and, the speedup of the proposed parallel algorithm is observed to be near linear. The parallel processing approach presented here can be extended to solve similar problems such as, image representation, restoration, compression, matching etc.
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