A Fractal Feature Based Method for Image Classification
Xiaoli Li · 2005
The image classification can be used as a pre-filter of the image search engine to reduce the amount of image matching, and speed up the image index processing. Without any prior knowledge of image content, a fast and effective method based on a fractal feature-Local Fractal Dimension Slope(LFDS ) is presented to classify photographs taken from natural scenery and graphics drawn by hand or generated by computer. The system tested on 445 random images whose size ranged from 192×128 to 2 012×3 094. The graphics can be classified correctly at the rate of 91.71% and the classification accuracy of photograph is 85.25%. The experimental results have demonstrated the effectiveness and high-speed performance of the proposed method in this paper.