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http://dx.doi.org/10.3745/JIPS.02.0138

Content-Based Image Retrieval Using Multi-Resolution Multi-Direction Filtering-Based CLBP Texture Features and Color Autocorrelogram Features  

Bu, Hee-Hyung (School of Computer Science and Engineering, Kyungpook National University)
Kim, Nam-Chul (School of Electronic Engineering, Kyungpook National University)
Yun, Byoung-Ju (School of Electronic Engineering, Kyungpook National University)
Kim, Sung-Ho (School of Computer Science and Engineering, Kyungpook National University)
Publication Information
Journal of Information Processing Systems / v.16, no.4, 2020 , pp. 991-1000 More about this Journal
Abstract
We propose a content-based image retrieval system that uses a combination of completed local binary pattern (CLBP) and color autocorrelogram. CLBP features are extracted on a multi-resolution multi-direction filtered domain of value component. Color autocorrelogram features are extracted in two dimensions of hue and saturation components. Experiment results revealed that the proposed method yields a lot of improvement when compared with the methods that use partial features employed in the proposed method. It is also superior to the conventional CLBP, the color autocorrelogram using R, G, and B components, and the multichannel decoded local binary pattern which is one of the latest methods.
Keywords
Autocorrelogram; Content-Based Image Retrieval; MRMD CLBP; Multi-Resolution Multi-Direction Filter;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
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