Experimental results show that the proposed approach is more accurate in image semantic classification than other ones, such as SVMs classifier using color and textural features. 实验结果表明，本文提出的方法在图像语义分类的准确性方面要优于诸如采用色彩特征和纹理特征的支持向量机分类器的其它方法。
The paper proposes a content-based identification and classification system that represents the visual content of TCP images by chromatic and textural feature set. 提出一种基于内容的中国画识别与分类方法，通过颜色和纹理特征来表现中国画图像的可视内容。
