Image Retrieval Based on Color Histogram of Saliency Map

Abstract:

With the development of the internet, more and more images appear in the internet. How to effectively retrieve the desired image is still an important problem. In the past, traditional color histogram is used image retrieval system, but color histograms lack spatial information and are sensitive to intensity variation, color distortion and cropping. As a result, images with similar histograms may have totally different semantics. So the spatial information should be included in color histogram. The color histogram based on saliency map approach is introduced to overcome the above limitations. In this paper, we present a robust image retrieval based on color histogram of saliency map. Firstly, in order to extract useful spatial information of each pixel, the steady saliency map of the images is extracted. Then, color histogram based on saliency map is introduced, and the similarity between color images is computed by using the color histogram of saliency map. Experimental results show that the proposed color image retrieval is more accurate and efficient in retrieving the user-interested images.

• Periodical: Advanced Materials Research (Volumes 989-994)
• Pages: 3552-3555
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.989-994.3552
• Online since: July 2014
• Authors: Jun Feng Wu*, Xian Qiang Lv, Wen Lian Yang, Ye Tao, Jing Zhang, Song Yang
• Keywords: Color Histogram, Image Retrieval, Saliency Map

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