在Matlab和OpenCV中对图像处理算法的CPU时间消耗进行比较

2012 ELEKTRO Pub Date : 2012-05-21 DOI:10.1109/ELEKTRO.2012.6225575

S. Matuska, R. Hudec, M. Benco

{"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}

引用次数: 40

摘要

为了填补日益增长的对高效图像和视频处理需求的空白，开源计算机视觉库(OpenCv)是解决这一问题的途径。因此，本文将介绍图像处理的基本算法以及它们在Matlab中与OpenCv的CPU时间消耗比较。算法在分辨率为3264×2448, 1920×1080, 1024×768和220×260的图像上进行了测试。采用多处理器计算机和多线程程序来提高处理效率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

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.

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

来源期刊

2012 ELEKTRO

自引率

0.00%

发文量