灰度共生矩阵检索纹理图像的算法研究

Study on Algorithm of Texture Image Retrival by Gray Level Co-occurrence Matrix

图像的特征提取和匹配是基于内容的图像检索技术的基础。针对典型纹理图像的检索问题,给出了共生矩阵特征统计量的合理提取方法。在此基础上,结合特征匹配技术实现了基于共生矩阵的纹理图像检索系统。测试了不同度量函数以及不同的特征统计组合对检索结果的影响。研究表明,提取共生矩阵的四参数,用加权街区距离进行图像匹配,可获得相对较好的检索效果。

Image＇s feature extraction and matching is essential for content-based image retrieval. To retrieve texture image better, this paper discussed the Rational method for extract features of texture image by gray level co-occurrence matrix. Then combined with similarity measures, the basic system based on GLCM was developed. Different measure functions and different combination of statistics were used to analyze their effect on retrieval. The result indicates that better retrieval performance is achieved by extracting four parameters from GLCM and measuring them with weighted block distance.