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: Image Analysis and Recognition; Second International Mohamed Kamel,Aurélio Campilho Conference proceedings 2005 Springer-Verlag Berlin Heid

[复制链接]
查看: 37647|回复: 60
发表于 2025-3-21 16:34:53 | 显示全部楼层 |阅读模式
书目名称Image Analysis and Recognition
副标题Second International
编辑Mohamed Kamel,Aurélio Campilho
视频video
丛书名称Lecture Notes in Computer Science
图书封面Titlebook: Image Analysis and Recognition; Second International Mohamed Kamel,Aurélio Campilho Conference proceedings 2005 Springer-Verlag Berlin Heid
描述ICIAR 2005, the International Conference on Image Analysis and Recognition, was the second ICIAR conference, and was held in Toronto, Canada. ICIAR is organized annually, and alternates between Europe and North America. ICIAR 2004 was held in Porto, Portugal. The idea of o?ering these conferences came as a result of discussion between researchers in Portugal and Canada to encourage collaboration and exchange, mainly between these two countries, but also with the open participation of other countries, addressing recent advances in theory, methodology and applications. TheresponsetothecallforpapersforICIAR2005wasencouraging.From295 full papers submitted, 153 were ?nally accepted (80 oral presentations, and 73 posters). The review process was carried out by the Program Committee m- bersandotherreviewers;allareexpertsinvariousimageanalysisandrecognition areas. Each paper was reviewed by at least two reviewers, and also checked by the conference co-chairs. The high quality of the papers in these proceedings is attributed ?rst to the authors,and second to the quality of the reviews provided by the experts. We would like to thank the authors for responding to our call, andwewholeheartedly
出版日期Conference proceedings 2005
关键词3D; 3D imaging; Augmented Reality; biometrics; classifier systems; color analysis; computer vision; documen
版次1
doihttps://doi.org/10.1007/11559573
isbn_softcover978-3-540-29069-8
isbn_ebook978-3-540-31938-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
issn_series 0302-9743
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

书目名称Image Analysis and Recognition影响因子(影响力)




书目名称Image Analysis and Recognition影响因子(影响力)学科排名




书目名称Image Analysis and Recognition网络公开度




书目名称Image Analysis and Recognition网络公开度学科排名




书目名称Image Analysis and Recognition被引频次




书目名称Image Analysis and Recognition被引频次学科排名




书目名称Image Analysis and Recognition年度引用




书目名称Image Analysis and Recognition年度引用学科排名




书目名称Image Analysis and Recognition读者反馈




书目名称Image Analysis and Recognition读者反馈学科排名




单选投票, 共有 0 人参与投票
 

0票 0%

Perfect with Aesthetics

 

0票 0%

Better Implies Difficulty

 

0票 0%

Good and Satisfactory

 

0票 0%

Adverse Performance

 

0票 0%

Disdainful Garbage

您所在的用户组没有投票权限
发表于 2025-3-21 20:56:26 | 显示全部楼层
978-3-540-29069-8Springer-Verlag Berlin Heidelberg 2005
发表于 2025-3-22 01:38:18 | 显示全部楼层
Image Analysis and Recognition978-3-540-31938-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
发表于 2025-3-22 04:53:58 | 显示全部楼层
发表于 2025-3-22 12:02:41 | 显示全部楼层
发表于 2025-3-22 13:45:18 | 显示全部楼层
发表于 2025-3-22 19:58:23 | 显示全部楼层
发表于 2025-3-23 00:33:44 | 显示全部楼层
FCM with Spatial and Multiresolution Constraints for Image Segmentationge then in each level FCM parameters are computed under a neighborhood spatial constraint. The coarse membership functions propagate down to fine layers to improve segmentation accuracy. The algorithm is tested on both synthetic and multispectral images. Experimental results are presented, showing t
发表于 2025-3-23 03:58:49 | 显示全部楼层
发表于 2025-3-23 06:01:22 | 显示全部楼层
Unsupervised Image Segmentation Using Contourlet Domain Hidden Markov Trees Modelused to capture the likelihood disparity of different texture features. A new context based fusion model is given for preserve more interscale information in contourlet domain. The simulation results of synthetic mosaics and real images show that the proposed unsupervised segmentation algorithm repr
 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, 2025-5-26 02:54
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