一种改进的颜色共生矩阵纹理描述符

An Improved Color Cooccurrence Matrix Texture Descriptor

利用模糊连续三角模运算定义的相似性度量描述彩色图像中像素点之间的差异程度,提出一种改进的颜色纹理特征描述符.该描述符首先将彩色图像多通道颜色信息按照间隔距离和方向进行有效融合并转换为伪灰度图像,然后再用灰度共生矩阵法提取图像的纹理特征矢量.在基于内容的图像检索测试平台上完成的实验表明,改进的纹理描述符所需特征矢量的维数与灰度共生矩阵描述符相同,而描述能力却能与各类颜色共生矩阵描述符相当,有效地实现了图像中纹理和颜色特征融合提取,提高了图像检索性能.

Utilizing similarity measure defined by the fuzzy continuous t-norm operator to describe the degree of difference between pixels in color images, an improved color cooccurrence matrix texture descriptor is proposed. In accordance with the predefined interval of distances and directions, the muhi-channel color information of original color image is effectively integrated and converted to pseudo-gray images. Then, gray level cooccurrence matrix （GLCM） texture method is used to extract feature vector for the pseudo-gray image. A large number of experiments are performed on the content-based image retrieval prototype platform and the results show that compared with other types of texture descriptors, the improved texture descriptor has the same feature vector dimension as the GLCM descriptor, while its description ability matches with all kinds of color cooccurrence matrix descriptor. The improved texture descriptor effectively achieves the integration of texture and color characteristics and improves the image retrieval performance.