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


Hee-Hyung Bu, Nam-Chul Kim, Byoung-Ju Yun, Sung-Ho Kim, Journal of Information Processing Systems Vol. 16, No. 4, pp. 991-1000, Aug. 2020  

10.3745/JIPS.02.0138
Keywords: Autocorrelogram, Content-based image retrieval, MRMD CLBP, Multi-Resolution Multi-Direction Filter
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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.


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Cite this article
[APA Style]
Bu, H., Kim, N., Yun, B., & Kim, S. (2020). Content-Based Image Retrieval Using Multi-Resolution Multi-Direction Filtering-Based CLBP Texture Features and Color Autocorrelogram Features. Journal of Information Processing Systems, 16(4), 991-1000. DOI: 10.3745/JIPS.02.0138.

[IEEE Style]
H. Bu, N. Kim, B. Yun, S. Kim, "Content-Based Image Retrieval Using Multi-Resolution Multi-Direction Filtering-Based CLBP Texture Features and Color Autocorrelogram Features," Journal of Information Processing Systems, vol. 16, no. 4, pp. 991-1000, 2020. DOI: 10.3745/JIPS.02.0138.

[ACM Style]
Hee-Hyung Bu, Nam-Chul Kim, Byoung-Ju Yun, and Sung-Ho Kim. 2020. Content-Based Image Retrieval Using Multi-Resolution Multi-Direction Filtering-Based CLBP Texture Features and Color Autocorrelogram Features. Journal of Information Processing Systems, 16, 4, (2020), 991-1000. DOI: 10.3745/JIPS.02.0138.