Texture-image classification in DCT compressed-domain
基于DCT压缩域的纹理图像分类

A novel method of texture-image classification in DCT compressed-domain is proposed. The textural feature; of energy-orientation is extracted in DCT transfonned-domain and this textural feature can be used to classify texture-images in RLE bit-stream directly. The experimental results demonstrate that texture-images can be classified at higher correct, classification rate under random noise.