说明：  提供一种基于颜色和纹理特征的图像识别方法，该方法包括如下步骤：将检测图像A和匹配图像B均分成n个子块；计算检测图像A和匹配图像B在子块k的颜色特征相似距离Dk(A,B)，纹理特征相似距离Tk(A,B)，其中k∈(o,n]；计算检测图像A和匹配图像B的颜色特征相似距离C(A,B)，纹理特征相似距离T(A,B)；根据检测图像A和匹配图像B的颜色特征相似距离C(A,B)和纹理特征相似距离T(A,B)判断检测图像A和匹配图像B的相似度S(A,B)。相对于现有技术，本发明基于颜色和纹理特征的匹配来计算图像的特征相似度，提高了准确性和客观性
(There is provided an image recognition method based on color and texture features, comprising the steps of: dividing the detected image A and the matching image B into n subblocks calculating the similarity of the color characteristics of the detected image A and the matching image B in the subblock k (A, B), which is similar to the color feature similarity distance C (A, B) of the matching image A and the matching image B, and the texture features are similar (A, B) the similarity distance S (A, B) and the texture feature similarity distance T (A, B) of the detected image A and the matching image B are judged to have the similarity S of the detected image A and the matching image B (A, B) .Compared to the prior art, the present invention calculates the feature similarity of the image based on the matching of color and texture features, improves the accuracy and objectivity)