P. Bonnin, C. Maurette, B. Hoelzener-Douarin, E. Pissaloux
{"title":"多光谱协同分割在CM5上的并行实现","authors":"P. Bonnin, C. Maurette, B. Hoelzener-Douarin, E. Pissaloux","doi":"10.1109/ICAPP.1995.472280","DOIUrl":null,"url":null,"abstract":"The paper focuses on the problem of the multi-spectral image segmentation, which leads-through the data fusion of several mono-spectral images-to reliable and robust vision systems for military or industrial purposes. The proposed approach does not fit the classical taxonomy of image data fusion methods: indeed, data fusion is performed during the segmentation, in parallel, of different images. The presented algorithm has been implemented on the Connection Machine CM5 with the data programming style.<<ETX>>","PeriodicalId":448130,"journal":{"name":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","volume":"95 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1995-04-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"A parallel implementation on CM5 of a multi-spectral cooperative segmentation\",\"authors\":\"P. Bonnin, C. Maurette, B. Hoelzener-Douarin, E. Pissaloux\",\"doi\":\"10.1109/ICAPP.1995.472280\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The paper focuses on the problem of the multi-spectral image segmentation, which leads-through the data fusion of several mono-spectral images-to reliable and robust vision systems for military or industrial purposes. The proposed approach does not fit the classical taxonomy of image data fusion methods: indeed, data fusion is performed during the segmentation, in parallel, of different images. The presented algorithm has been implemented on the Connection Machine CM5 with the data programming style.<<ETX>>\",\"PeriodicalId\":448130,\"journal\":{\"name\":\"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing\",\"volume\":\"95 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1995-04-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICAPP.1995.472280\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 1st International Conference on Algorithms and Architectures for Parallel Processing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICAPP.1995.472280","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A parallel implementation on CM5 of a multi-spectral cooperative segmentation
The paper focuses on the problem of the multi-spectral image segmentation, which leads-through the data fusion of several mono-spectral images-to reliable and robust vision systems for military or industrial purposes. The proposed approach does not fit the classical taxonomy of image data fusion methods: indeed, data fusion is performed during the segmentation, in parallel, of different images. The presented algorithm has been implemented on the Connection Machine CM5 with the data programming style.<>
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
