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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.