基于多分辨率多方向滤波的CLBP纹理特征和颜色自相关特征的基于内容的图像检索

Hee-Hyung Bu, N. Kim, B. Yun, Sung-Ho Kim
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引用次数: 2

摘要

提出了一种基于内容的图像检索系统,该系统结合了完整的局部二值模式(CLBP)和颜色自相关图。在多分辨率多方向滤波的值分量域上提取CLBP特征。在色相和饱和度两个维度上提取颜色自相关图特征。实验结果表明,与使用部分特征的方法相比,该方法有很大的改进。它也优于传统的CLBP、使用R、G、B分量的颜色自相关图和最新方法之一的多通道解码局部二进制模式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Content-Based Image Retrieval Using Multi-Resolution Multi-Direction Filtering-Based CLBP Texture Features and Color Autocorrelogram Features
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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