找回密码
 To register

QQ登录

只需一步,快速开始

扫一扫,访问微社区

Titlebook: Scale Space and Variational Methods in Computer Vision; Second International Xue-Cheng Tai,Knut Mørken,Knut-Andreas Lie Conference proceedi

[复制链接]
查看: 36615|回复: 66
发表于 2025-3-21 19:39:25 | 显示全部楼层 |阅读模式
书目名称Scale Space and Variational Methods in Computer Vision
副标题Second International
编辑Xue-Cheng Tai,Knut Mørken,Knut-Andreas Lie
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Scale Space and Variational Methods in Computer Vision; Second International Xue-Cheng Tai,Knut Mørken,Knut-Andreas Lie Conference proceedi
描述This book contains 71 original, scienti?c articles that address state-of-the-art researchrelatedto scale space and variationalmethods for image processing and computer vision. Topics covered in the book range from mathematical analysis of both established and new models, fast numerical methods, image analysis, segmentation, registration, surface and shape construction and processing, to real applications in medical imaging and computer vision. The ideas of scale spaceandvariationalmethodsrelatedtopartialdi?erentialequationsarecentral concepts. The papers re?ect the newest developments in these ?elds and also point to the latest literature. All the papers were submitted to the Second International Conference on Scale Space and Variational Methods in Computer Vision, which took place in Voss, Norway, during June 1–5, 2009. The papers underwent a peer review process similar to that of high-level journals in the ?eld. We thank the authors, the Scienti?c Committee, the Program Committee and the reviewers for their hard work and helpful collaboration. Their contribution has been crucial for the e?cient processing of this book, and for the success of the conference.
出版日期Conference proceedings 2009
关键词algorithms; anisotropic smoothin; computational geometry; curvelets; dejittering; denoising; filtering; fin
版次1
doihttps://doi.org/10.1007/978-3-642-02256-2
isbn_softcover978-3-642-02255-5
isbn_ebook978-3-642-02256-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

书目名称Scale Space and Variational Methods in Computer Vision影响因子(影响力)




书目名称Scale Space and Variational Methods in Computer Vision影响因子(影响力)学科排名




书目名称Scale Space and Variational Methods in Computer Vision网络公开度




书目名称Scale Space and Variational Methods in Computer Vision网络公开度学科排名




书目名称Scale Space and Variational Methods in Computer Vision被引频次




书目名称Scale Space and Variational Methods in Computer Vision被引频次学科排名




书目名称Scale Space and Variational Methods in Computer Vision年度引用




书目名称Scale Space and Variational Methods in Computer Vision年度引用学科排名




书目名称Scale Space and Variational Methods in Computer Vision读者反馈




书目名称Scale Space and Variational Methods in Computer Vision读者反馈学科排名




单选投票, 共有 1 人参与投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

1票 100.00%

Good and Satisfactory

 

0票 0.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 22:29:56 | 显示全部楼层
An Unconstrained Multiphase Thresholding Approach for Image Segmentationent scheme leads to a reliable computation of the global minimizer. Furthermore, the model is extended to multiphase segmentation along the lines of Vese and Chan. Numerical results of the model applied to the classical piecewise constant Mumford-Shah functional for two, four and eight phase segmentation are shown.
发表于 2025-3-22 01:15:10 | 显示全部楼层
发表于 2025-3-22 07:21:35 | 显示全部楼层
Semi-supervised Segmentation Based on Non-local Continuous Min-Cutnd non-local image information. The last term is the standard TV term that regularizes the geometry of the interface. We introduce an iterative scheme that provides a unique minimizer. Promising results are presented on synthetic textures a nd real-world images.
发表于 2025-3-22 09:16:26 | 显示全部楼层
Convex Multi-class Image Labeling by Simplex-Constrained Total Variation. Optimization is carried out in the operator splitting framework using Douglas-Rachford Splitting. In this connection, we compare two methods to solve the Rudin-Osher-Fatemi type subproblems and demonstrate the performance of our approach on single- and multichannel images.
发表于 2025-3-22 14:33:26 | 显示全部楼层
On Level-Set Type Methods for Recovering Piecewise Constant Solutions of Ill-Posed Problems our Tikhonov approach as a regularization method. Based on the necessary conditions of optimality for the Tikhonov functional, a level-set type method is derived and implemented numerically for solving an inverse source problem. This allow us to test the quality of the proposed algorithm.
发表于 2025-3-22 19:38:52 | 显示全部楼层
发表于 2025-3-22 21:56:52 | 显示全部楼层
发表于 2025-3-23 05:23:03 | 显示全部楼层
发表于 2025-3-23 09:11:29 | 显示全部楼层
 关于派博传思  派博传思旗下网站  友情链接
派博传思介绍 公司地理位置 论文服务流程 影响因子官网 SITEMAP 大讲堂 北京大学 Oxford Uni. Harvard Uni.
发展历史沿革 期刊点评 投稿经验总结 SCIENCEGARD IMPACTFACTOR 派博系数 清华大学 Yale Uni. Stanford Uni.
|Archiver|手机版|小黑屋| 派博传思国际 ( 京公网安备110108008328) GMT+8, 2025-5-6 22:38
Copyright © 2001-2015 派博传思   京公网安备110108008328 版权所有 All rights reserved
快速回复 返回顶部 返回列表