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基于三像素彩色共生矩阵的图像检索
Content-Based Image Retrieval Using Three Pixels Color Co-Occurrence Matrix

DOI: 10.12677/CSA.2012.22016, PP. 84-89

Keywords: 图像检索;灰度共生矩阵;Lab颜色空间;三像素彩色共生矩阵
Image Retrieval
, Gray Level Co-Occurrence Matrix, Lab Color Space, Three Pixels Color Co-Occurrence Matrix

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Abstract:

本文提出一种新颖的颜色特征描述子——三像素彩色共生矩阵。它通过描述三个相同像素的空间相关性来实现基于内容的图像检索。它首先将彩色图像从RGB颜色空间转换到Lab均匀颜色空间,然后将彩色图像量化为90种颜色,并且对图像进行共生矩阵分析,最后采用90维特征向量来描述图像特征。实验结果表明,三像素彩色共生矩阵的检索性能优越于灰度共生矩阵和MPEG-7颜色布局描述子。它能够描述图像的颜色结构分布信息,能够整合颜色和纹理特征。
A new color descriptor, namely three pixels color co-occurrence matrix, is proposed in this paper. It imple- ments content-based image retrieval via representing the spatial correlation of the same three pixels. The proposed de- scriptor first converts color image from RGB color space to Lab color space. The original color image is then quantized into 90 colors and co-occurrence matrix used for image analysis. Finally, 90-dimensional vector is adopted to describe image features. Image retrieval experimental results shown that the performances of the proposed descriptor are better than that of gray level co-occurrence matrix and MPEG-7 color layout descriptor. It has good discriminative power of color structure distribution, and can combine the color and texture features.

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