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http://dx.doi.org/10.17661/jkiiect.2019.12.1.13

A Image Search Algorithm using Coefficients of The Cosine Transform  

Lee, Seok-Han (Department of Information and Communication Engineering, Jeonju University)
Publication Information
The Journal of Korea Institute of Information, Electronics, and Communication Technology / v.12, no.1, 2019 , pp. 13-21 More about this Journal
Abstract
The content based on image retrieval makes use of features of information within image such as color, texture and share for Retrieval data. we present a novel approach for improving retrieval accuracy based on DCT Filter-Bank. First, we perform DCT on a given image, and generate a Filter-Bank using the DCT coefficients for each color channel. In this step, DC and the limited number of AC coefficients are used. Next, a feature vector is obtained from the histogram of the quantized DC coefficients. Then, AC coefficients in the Filter-Bank are separated into three main groups indicating horizontal, vertical, and diagonal edge directions, respectively, according to their spatial-frequency properties. Each directional group creates its histogram after employing Otsu binarization technique. Finally, we project each histogram on the horizontal and vertical axes, and generate a feature vector for each group. The computed DC and AC feature vectors bins are concatenated, and it is used in the similarity checking procedure. We experimented using 1,000 databases, and as a result, this approach outperformed the old retrieval method which used color information.
Keywords
Image Processing; Cosine Transform; Color Image; Image Search; Color Histogram;
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