基于区域分割和合并的视频速率图像分割

2009 IEEE International Conference on Signal and Image Processing Applications Pub Date : 2009-11-01 DOI:10.1109/ICSIPA.2009.5478693

K. Aneja, F. Laguzet, L. Lacassagne, A. Mérigot

{"title":"基于区域分割和合并的视频速率图像分割","authors":"K. Aneja, F. Laguzet, L. Lacassagne, A. Mérigot","doi":"10.1109/ICSIPA.2009.5478693","DOIUrl":null,"url":null,"abstract":"This paper proposes a fast method for image segmentation. After an optimal split of the image into rectangular regions, this paper focuses on the fast merging of these regions. Since the computation time is very small, hence it is suitable for real time applications, while producing a good segmentation for tracking purposes.","PeriodicalId":400165,"journal":{"name":"2009 IEEE International Conference on Signal and Image Processing Applications","volume":"60 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"12","resultStr":"{\"title\":\"Video-rate image segmentation by means of region splitting and merging\",\"authors\":\"K. Aneja, F. Laguzet, L. Lacassagne, A. Mérigot\",\"doi\":\"10.1109/ICSIPA.2009.5478693\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper proposes a fast method for image segmentation. After an optimal split of the image into rectangular regions, this paper focuses on the fast merging of these regions. Since the computation time is very small, hence it is suitable for real time applications, while producing a good segmentation for tracking purposes.\",\"PeriodicalId\":400165,\"journal\":{\"name\":\"2009 IEEE International Conference on Signal and Image Processing Applications\",\"volume\":\"60 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2009-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"12\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2009 IEEE International Conference on Signal and Image Processing Applications\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSIPA.2009.5478693\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 IEEE International Conference on Signal and Image Processing Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSIPA.2009.5478693","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}

引用次数: 12

摘要

提出了一种快速的图像分割方法。在将图像最优分割为矩形区域后，重点研究这些区域的快速合并。由于计算时间非常小，因此适合于实时应用，同时为跟踪目的产生良好的分割。

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

Video-rate image segmentation by means of region splitting and merging

This paper proposes a fast method for image segmentation. After an optimal split of the image into rectangular regions, this paper focuses on the fast merging of these regions. Since the computation time is very small, hence it is suitable for real time applications, while producing a good segmentation for tracking purposes.

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

2009 IEEE International Conference on Signal and Image Processing Applications

自引率

0.00%

发文量