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http://dx.doi.org/10.5909/JBE.2013.18.3.372

Content-based Image Retrieval using LBP and HSV Color Histogram  

Lee, Kwon (School of Electrical & Electronic Engineering at Yonsei University)
Lee, Chulhee (School of Electrical & Electronic Engineering at Yonsei University)
Publication Information
Journal of Broadcast Engineering / v.18, no.3, 2013 , pp. 372-379 More about this Journal
Abstract
In this paper, we proposed a content-based image retrieval algorithm using local binary patterns and HSV color histogram. Images are retrieved using image input in image retrieval system. Many researches are based on global feature distribution such as color, texture and shape. These techniques decrease the retrieval performance in images which contained background the large amount of image. To overcome this drawback, the proposed method extract background fast and emphasize the feature of object by shrinking the background. The proposed method uses HSV color histogram and Local Binary Patterns. We also extract the Local Binary Patterns in quantized Hue domain. Experimental results show that the proposed method 82% precision using Corel 1000 database.
Keywords
Image Retrieval; Background Extraction; Local Binary Patterns; HSV Color; Low Complexity;
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