基于Chan-Vese模型图像分割算法代码

上传者: zkk995 | 上传时间: 2019-12-21 22:23:23 | 文件大小: 87KB | 文件类型: zip
图像分割代码,作者V. Lempitsky, A. Blake, C. Rother. Image Segmentation by Branch-and-Mincut. In proceedings of European Conference on Computer Vision (ECCV), October 2008.

文件下载

资源详情

[{"title":"( 17 个子文件 87KB ) 基于Chan-Vese模型图像分割算法代码","children":[{"title":"license.txt <span style='color:#111;'> 5.97KB </span>","children":null,"spread":false},{"title":"image.h <span style='color:#111;'> 2.95KB </span>","children":null,"spread":false},{"title":"Maxflow","children":[{"title":"instances.inc <span style='color:#111;'> 410B </span>","children":null,"spread":false},{"title":"graph.h <span style='color:#111;'> 17.32KB </span>","children":null,"spread":false},{"title":"CHANGES.TXT <span style='color:#111;'> 1.14KB </span>","children":null,"spread":false},{"title":"block.h <span style='color:#111;'> 7.29KB </span>","children":null,"spread":false},{"title":"graph.cpp <span style='color:#111;'> 2.96KB </span>","children":null,"spread":false},{"title":"maxflow.cpp <span style='color:#111;'> 15.20KB </span>","children":null,"spread":false},{"title":"README.TXT <span style='color:#111;'> 4.33KB </span>","children":null,"spread":false}],"spread":true},{"title":"ChanVeseSegmentation.cpp <span style='color:#111;'> 3.93KB </span>","children":null,"spread":false},{"title":"BranchAndMincut.cpp <span style='color:#111;'> 7.16KB </span>","children":null,"spread":false},{"title":"BranchAndMincut.h <span style='color:#111;'> 2.89KB </span>","children":null,"spread":false},{"title":"BranchAndMincut.sln <span style='color:#111;'> 894B </span>","children":null,"spread":false},{"title":"ReadMe.txt <span style='color:#111;'> 3.62KB </span>","children":null,"spread":false},{"title":"lake.png <span style='color:#111;'> 58.58KB </span>","children":null,"spread":false},{"title":"BranchAndMincut.vcproj <span style='color:#111;'> 5.26KB </span>","children":null,"spread":false},{"title":"ChanVeseSegmentation.h <span style='color:#111;'> 1.89KB </span>","children":null,"spread":false}],"spread":true}]

评论信息

  • lengke2004 :
    可以运行,时间有点长
    2015-05-22
  • 9彩虹糖1 :
    可以运行,效果也说得过去,就是速度慢了些
    2015-01-20
  • rosal :
    可以运行,就是有点慢,效果还是不错的
    2014-10-06
  • wlem1981 :
    基于OPENCV,非常好。持续学习中!
    2014-09-11
  • wrh_0951 :
    挺好的,在我这里跑通了,
    2014-06-09

免责申明

【只为小站】的资源来自网友分享,仅供学习研究,请务必在下载后24小时内给予删除,不得用于其他任何用途,否则后果自负。基于互联网的特殊性,【只为小站】 无法对用户传输的作品、信息、内容的权属或合法性、合规性、真实性、科学性、完整权、有效性等进行实质审查;无论 【只为小站】 经营者是否已进行审查,用户均应自行承担因其传输的作品、信息、内容而可能或已经产生的侵权或权属纠纷等法律责任。
本站所有资源不代表本站的观点或立场,基于网友分享,根据中国法律《信息网络传播权保护条例》第二十二条之规定,若资源存在侵权或相关问题请联系本站客服人员,zhiweidada#qq.com,请把#换成@,本站将给予最大的支持与配合,做到及时反馈和处理。关于更多版权及免责申明参见 版权及免责申明