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哪位能否帮忙查询该论文是否被ei检索及相关信息?文章名称:Improvedlocalaccumulatehistogram-basedThangkaImageRetrieval作者:XiaojieLi;WeilanWang;WeiYang;出版物:ImageAnalysisandSignalProcessing(IASP),201
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哪位能否帮忙查询该论文是否被ei检索及相关信息?
文章名称:Improved local accumulate histogram-based Thangka Image Retrieval
作者:Xiaojie Li; Weilan Wang; Wei Yang;
出版物:Image Analysis and Signal Processing (IASP),2010 International Conference on
其它信息:Digital Object Identifier:10.1109/IASP.2010.5476104
Publication Year:2010 ,Page(s):318 - 321
说是被EI收录,但自己没法查.,
IEEE Conferences
文章名称:Improved local accumulate histogram-based Thangka Image Retrieval
作者:Xiaojie Li; Weilan Wang; Wei Yang;
出版物:Image Analysis and Signal Processing (IASP),2010 International Conference on
其它信息:Digital Object Identifier:10.1109/IASP.2010.5476104
Publication Year:2010 ,Page(s):318 - 321
说是被EI收录,但自己没法查.,
IEEE Conferences
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Accession number: 20102813064797
Title: Improved local accumulate histogram-based Thangka Image Retrieval
Authors: Li, Xiaojie1 ; Wang, Weilan2 ; Yang, Wei1
Author affiliation: 1 Information Technology Institute, Northwest University for Nationalities, Lanzhou, China
2 School of Computer Science and Information Engineering, Northwest University for Nationalities, Lanzhou, China
Corresponding author: Li, X. (hakuna__matata@126.com)
Source title: IASP 10 - 2010 International Conference on Image Analysis and Signal Processing
Abbreviated source title: IASP - Int. Conf. Image Analys. Signal Process.
Monograph title: IASP 10 - 2010 International Conference on Image Analysis and Signal Processing
Issue date: 2010
Publication year: 2010
Pages: 318-321
Article number: 5476104
Language: English
ISBN-13: 9781424455553
Document type: Conference article (CA)
Conference name: 2nd International Conference on Image Analysis and Signal Processing, IASP'2010
Conference date: April 12, 2010 - April 14, 2010
Conference location: Xiamen, China
Conference code: 80893
Publisher: IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
Abstract: This paper has accomplished an improved local accumulate histogram method of Thangka Image Retrieval. First, change the color space from RGB to HSV and divide similar area by the value of the hue reasonably, then it can get six similar intervals which the hue (H) is independent of the value (V) (Saturation (S) is assumed a constant in the beginning). Second, accumulate histogram is applied respectively for H, S and V in each local similar intervals, while S and V are obtained by mapping. Finally, the similarity of each local similar intervals are evaluated with Euclidean distance, before final retrieval result is obtained by setting weight for each result then re-measuring similarity. The experiment shows that this approach is effective not only in retrieving simple natural scenery images but also in retrieving Thangka images with rich color and complex texture. © 2010 IEEE.
Number of references: 8
Main heading: Color
Controlled terms: Image analysis - Image enhancement - Image retrieval - Mapping - Signal processing
Uncontrolled terms: Color space - Euclidean distance - Histogram method - Local accumulate histogram - Natural scenery
Classification code: 405.3 Surveying - 716.1 Information Theory and Signal Processing - 723.2 Data Processing and Image Processing - 741 Light, Optics and Optical Devices - 741.1 Light/Optics - 902.1 Engineering Graphics
DOI: 10.1109/IASP.2010.5476104
Database: Compendex
Compilation and indexing terms, © 2009 Elsevier Inc.
Title: Improved local accumulate histogram-based Thangka Image Retrieval
Authors: Li, Xiaojie1 ; Wang, Weilan2 ; Yang, Wei1
Author affiliation: 1 Information Technology Institute, Northwest University for Nationalities, Lanzhou, China
2 School of Computer Science and Information Engineering, Northwest University for Nationalities, Lanzhou, China
Corresponding author: Li, X. (hakuna__matata@126.com)
Source title: IASP 10 - 2010 International Conference on Image Analysis and Signal Processing
Abbreviated source title: IASP - Int. Conf. Image Analys. Signal Process.
Monograph title: IASP 10 - 2010 International Conference on Image Analysis and Signal Processing
Issue date: 2010
Publication year: 2010
Pages: 318-321
Article number: 5476104
Language: English
ISBN-13: 9781424455553
Document type: Conference article (CA)
Conference name: 2nd International Conference on Image Analysis and Signal Processing, IASP'2010
Conference date: April 12, 2010 - April 14, 2010
Conference location: Xiamen, China
Conference code: 80893
Publisher: IEEE Computer Society, 445 Hoes Lane - P.O.Box 1331, Piscataway, NJ 08855-1331, United States
Abstract: This paper has accomplished an improved local accumulate histogram method of Thangka Image Retrieval. First, change the color space from RGB to HSV and divide similar area by the value of the hue reasonably, then it can get six similar intervals which the hue (H) is independent of the value (V) (Saturation (S) is assumed a constant in the beginning). Second, accumulate histogram is applied respectively for H, S and V in each local similar intervals, while S and V are obtained by mapping. Finally, the similarity of each local similar intervals are evaluated with Euclidean distance, before final retrieval result is obtained by setting weight for each result then re-measuring similarity. The experiment shows that this approach is effective not only in retrieving simple natural scenery images but also in retrieving Thangka images with rich color and complex texture. © 2010 IEEE.
Number of references: 8
Main heading: Color
Controlled terms: Image analysis - Image enhancement - Image retrieval - Mapping - Signal processing
Uncontrolled terms: Color space - Euclidean distance - Histogram method - Local accumulate histogram - Natural scenery
Classification code: 405.3 Surveying - 716.1 Information Theory and Signal Processing - 723.2 Data Processing and Image Processing - 741 Light, Optics and Optical Devices - 741.1 Light/Optics - 902.1 Engineering Graphics
DOI: 10.1109/IASP.2010.5476104
Database: Compendex
Compilation and indexing terms, © 2009 Elsevier Inc.
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