{"title":"基于向量阶的图像边缘检测方法研究","authors":"Li-ting Chen","doi":"10.1109/ICCEA.2010.145","DOIUrl":null,"url":null,"abstract":"Unified metamorphic methodologies have led to many robust advances, including forward-error correction and SCSI disks [2]. Although it at first glance seems perverse, it has ample historical precedence. In this position paper, we disconfirm the analysis of the Image edge detection method [21]. Our focus here is not on whether architecture can be made unstable, concurrent, and self-learning, but rather on describing an analysis of Image edge detection method using vector order","PeriodicalId":207234,"journal":{"name":"2010 Second International Conference on Computer Engineering and Applications","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2010-03-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on Image Edge Detection Method Using Vector Order\",\"authors\":\"Li-ting Chen\",\"doi\":\"10.1109/ICCEA.2010.145\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Unified metamorphic methodologies have led to many robust advances, including forward-error correction and SCSI disks [2]. Although it at first glance seems perverse, it has ample historical precedence. In this position paper, we disconfirm the analysis of the Image edge detection method [21]. Our focus here is not on whether architecture can be made unstable, concurrent, and self-learning, but rather on describing an analysis of Image edge detection method using vector order\",\"PeriodicalId\":207234,\"journal\":{\"name\":\"2010 Second International Conference on Computer Engineering and Applications\",\"volume\":\"5 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2010-03-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2010 Second International Conference on Computer Engineering and Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCEA.2010.145\",\"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 Second International Conference on Computer Engineering and Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCEA.2010.145","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Research on Image Edge Detection Method Using Vector Order
Unified metamorphic methodologies have led to many robust advances, including forward-error correction and SCSI disks [2]. Although it at first glance seems perverse, it has ample historical precedence. In this position paper, we disconfirm the analysis of the Image edge detection method [21]. Our focus here is not on whether architecture can be made unstable, concurrent, and self-learning, but rather on describing an analysis of Image edge detection method using vector order
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