NDLI: An Effective Image Retrieval Technique Based on Color Perception

Content Provider	IEEE Xplore Digital Library
Author	Shouhong Wan Peiquan Jin Lihua Yue
Copyright Year	2011
Abstract	In content-based image retrieval (CBIR), color is the most intuitive image features and it is widely used. But The current color feature can describe the semantics of the whole image effectively, but does not reflect characteristics of the color salience objects in an image. For the purpose of giving prominence to the color characteristics of salience objects, this paper proposes a new color feature descriptor based on color visual perception model. By analyzing the human color visual perception process, the color perception model is proposed at first. This model integrates the intensity, the color contrast and self saliency, sparsity and centricity saliency to describe human color visual perception of the image. Then, the new color feature descriptor is calculated by weighting the significant bit-plane histograms with color perception map. Finally, similarity measure is presented for the new color feature. Experiment results show that the proposed color feature is more accurate and efficient in retrieving images with user-interested color objects. Compared with the other three retrieval methods, the proposed technique improves the retrieval accuracy effectively.
Starting Page	1017
Ending Page	1022
File Size	968712
Page Count	6
File Format	PDF
ISBN	9781457715600
DOI	10.1109/ICIG.2011.165
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-08-12
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Visualization Histograms Image color analysis visual saliency Image retrieval Humans color visual perception image retrieval color perception Colored noise color feature Visual perception
Content Type	Text
Resource Type	Article

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