Image Retrieval Method Based on Vision Feature of Color

Abstract:

Color histogram is an important technique for color database retrieving, but it often ignores color’s spatial distribution information. This paper proposes an improved color histogram algorithm based on the HSV space, whose subspaces are non-equally quantized. The algorithm first proceeds annular partition on the original image, and then uses the method presented by Aibing Rao etc. [1] to count each partition. At last, it calculates the weighted sums for the distances between distinct color histograms. Experimental results demonstrate that the algorithm reduces the feature dimensions and keeps a good accuracy as well as the spatial distribution information. Thus, a better retrieval result is obtained.

• Periodical: Applied Mechanics and Materials (Volumes 303-306)
• Pages: 1406-1411
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.303-306.1406
• Online since: February 2013
• Authors: Ying Meng Dai, Lin Feng Wei, Cong Luo
• Keywords: Annular Partition, Color Histogram, Image Retrieval, Spatial Distribution, Weighted

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