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Color texture moments for content-based image retrieval
Yu, Hui ; Li, Mingjing ; Zhang, Hong-Jiang ; Feng, Jufu
2002
英文摘要In this paper, we adopt local Fourier transform as a texture representation scheme and derive eight characteristic maps for describing different aspects of co-occurrence relations of image pixels in each channel of the (SVcosH, SVsinH, V) color space. Then we calculate the first and second moments of these maps as a representation of the natural color image pixel distribution, resulting in a 48-dimensional feature vector. The novel low-level feature is named color texture moments (CTM), which can also be regarded as a certain extension to color moments in eight aspects through eight orthogonal templates. Experiments show that this new feature can achieve good retrieval performance of CBIR.; EI; 0
语种英语
内容类型其他
源URL[http://ir.pku.edu.cn/handle/20.500.11897/330285]  
专题信息科学技术学院
推荐引用方式
GB/T 7714
Yu, Hui,Li, Mingjing,Zhang, Hong-Jiang,et al. Color texture moments for content-based image retrieval. 2002-01-01.
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