An efficient region-based image representation using Legendre color distribution moments
Pages 435 - 439
Abstract
By exploiting region Legendre color distribution moments, a region-based image representation in terms of storage and complexity is proposed. The representation consists of three steps: First, an image is segmented regions by a classical algorithm. Second, a compact, fixed-number and computation effective representaton is designed for the color contents of each region of an image, which takes not only the local color feature of a region into consideration, but also the correlation of the color distribution of the region. Third, we use Legendre color distribution moments as feature vector of the regions to match images. With the robustness to rotation and translation, the representation avoids shortcoming of losing the correlation of the color distribution and the spatial color distribution information in color histogram experimental results on a database of 1000 general-purposed images demonstrate the efficiency and effectiveness of the proposed representation for image retrieval.
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Published In
November 2009
1479 pages
ISBN:9781605587103
DOI:10.1145/1655925
Copyright © 2009 ACM.
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Published: 24 November 2009
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- China Postdoctoral Science Foundation
- Education Bureau Foundation of Fujian Province
- National Natural Science Foundation of China
- Natural Science Foundation of Fujian Province
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ICIS '09
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ICIS '09: The 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human
November 24 - 26, 2009
Seoul, Korea
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