CASIA OpenIR  > 智能制造技术与系统研究中心  > 多维数据分析
Directional relaxation post-processing method of watershed segmentation
Yang, Minghui; Peng, Silong,; Yang MH(杨明辉)
Source PublicationComputer Engineering
2006
Volume32(12)Issue:2006年12期Pages:pp 8-10 (EI)
AbstractIn order to extract line objects from color images,this paper presents a new method of color image segmentation.Firstly,original over-segmented image is made by watershed transform and classified probability of each region is obtained using fuzzy clustering method in LUV color space.Then it extracts the neighboring regions in line direction of each region based on edge information and spatial characteristic.Finally the classified probability of each region is updated using the information of its neighboring regions.The experimental results show that the segmentation gives very good extraction result.
KeywordWatershed Segmentation / luv Color Space / classified Probability / line Direction
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/12982
Collection智能制造技术与系统研究中心_多维数据分析
Corresponding AuthorYang MH(杨明辉)
Recommended Citation
GB/T 7714
Yang, Minghui,Peng, Silong,,Yang MH. Directional relaxation post-processing method of watershed segmentation[J]. Computer Engineering,2006,32(12)(2006年12期):pp 8-10 (EI).
APA Yang, Minghui,Peng, Silong,,&杨明辉.(2006).Directional relaxation post-processing method of watershed segmentation.Computer Engineering,32(12)(2006年12期),pp 8-10 (EI).
MLA Yang, Minghui,et al."Directional relaxation post-processing method of watershed segmentation".Computer Engineering 32(12).2006年12期(2006):pp 8-10 (EI).
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yang, Minghui]'s Articles
[Peng, Silong,]'s Articles
[杨明辉]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yang, Minghui]'s Articles
[Peng, Silong,]'s Articles
[杨明辉]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yang, Minghui]'s Articles
[Peng, Silong,]'s Articles
[杨明辉]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.