{"title":"面向实体物体识别的共享内存多处理器系统","authors":"M. Yaqub, Q. Shaikh, S. Ahmad","doi":"10.1142/S0129053399000077","DOIUrl":null,"url":null,"abstract":"Details of object recognition as applied to a shared memory multiprocessor system is presented, along with the software for image pre-processing; separation of the object from background; and the calculation of the invariant characteristic of the object using the Hu-invariant technique. Partitioning of the sequential algorithms for implementation in the multiprocessor hardware by the determination of precedence and data dependency, is also described.","PeriodicalId":270006,"journal":{"name":"Int. J. High Speed Comput.","volume":"180 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1999-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Shared Memory Multiprocessor System for the Recognition of solid Objects\",\"authors\":\"M. Yaqub, Q. Shaikh, S. Ahmad\",\"doi\":\"10.1142/S0129053399000077\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Details of object recognition as applied to a shared memory multiprocessor system is presented, along with the software for image pre-processing; separation of the object from background; and the calculation of the invariant characteristic of the object using the Hu-invariant technique. Partitioning of the sequential algorithms for implementation in the multiprocessor hardware by the determination of precedence and data dependency, is also described.\",\"PeriodicalId\":270006,\"journal\":{\"name\":\"Int. J. High Speed Comput.\",\"volume\":\"180 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1999-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Int. J. High Speed Comput.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1142/S0129053399000077\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. High Speed Comput.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1142/S0129053399000077","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Shared Memory Multiprocessor System for the Recognition of solid Objects
Details of object recognition as applied to a shared memory multiprocessor system is presented, along with the software for image pre-processing; separation of the object from background; and the calculation of the invariant characteristic of the object using the Hu-invariant technique. Partitioning of the sequential algorithms for implementation in the multiprocessor hardware by the determination of precedence and data dependency, is also described.