该文提出了一种在基于离散采弦变换(DCT，Discrete Coslne‘nansform)压缩域进行纹理图

像分类的方法．此方法主要利用了DCT域能量具有方向性的特电，直接在辩程长编码(RLE，Rlm I。ength

E眦ollⅢg)形成的码流中根据这种方向性来提取、组织特征矢址，对纹理图像进行分粪．此方法只需对压缩

【封像世行简单的Hu圩maⅡ解码．要处理的数据量较少，处理速度快实验结果表明．这种分类方法具有较高

的准确性．-This paper presents a string taken based on the discrete transform (DCT, Discrete Coslne' nansform) Compressed domain texture image classification method. The main advantage of this method has a directional DCT domain specific electrical energy directly in the debate process length coding (RLE, Rlm I. Ength E canthus oll Ⅲ g) formed the basis of this stream in the direction to extract, organize feature vector address points on the texture image manure. This method only on the compression seal as the World Bank [Hu Wei ma Ⅱ simple decoding. Small amount of data to be processed, fast processing speed results show. This classification method has high accuracy.