{"title":"在Matlab和OpenCV中对图像处理算法的CPU时间消耗进行比较","authors":"S. Matuska, R. Hudec, M. Benco","doi":"10.1109/ELEKTRO.2012.6225575","DOIUrl":null,"url":null,"abstract":"In order to fill gap of growing demand for high efficient image and video processing, open source computer vision library (OpenCv) is way to deals with this task. Hence, this paper is about basic algorithm for image processing and their CPU time consumption in Matlab comparing with OpenCv. Algorithms are tested on images with resolution 3264×2448, 1920×1080, 1024×768 and 220×260. Multi-processors computer and multi-threading programs are used to improve processing efficiency.","PeriodicalId":343071,"journal":{"name":"2012 ELEKTRO","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-05-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"40","resultStr":"{\"title\":\"The comparison of CPU time consumption for image processing algorithm in Matlab and OpenCV\",\"authors\":\"S. Matuska, R. Hudec, M. Benco\",\"doi\":\"10.1109/ELEKTRO.2012.6225575\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In order to fill gap of growing demand for high efficient image and video processing, open source computer vision library (OpenCv) is way to deals with this task. Hence, this paper is about basic algorithm for image processing and their CPU time consumption in Matlab comparing with OpenCv. Algorithms are tested on images with resolution 3264×2448, 1920×1080, 1024×768 and 220×260. Multi-processors computer and multi-threading programs are used to improve processing efficiency.\",\"PeriodicalId\":343071,\"journal\":{\"name\":\"2012 ELEKTRO\",\"volume\":\"43 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-05-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"40\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 ELEKTRO\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ELEKTRO.2012.6225575\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 ELEKTRO","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ELEKTRO.2012.6225575","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The comparison of CPU time consumption for image processing algorithm in Matlab and OpenCV
In order to fill gap of growing demand for high efficient image and video processing, open source computer vision library (OpenCv) is way to deals with this task. Hence, this paper is about basic algorithm for image processing and their CPU time consumption in Matlab comparing with OpenCv. Algorithms are tested on images with resolution 3264×2448, 1920×1080, 1024×768 and 220×260. Multi-processors computer and multi-threading programs are used to improve processing efficiency.
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