Image recognition-based maximum entropy on unstructured road
LING Bo, WU Jing, YE Xiu-qing, GU Wei-kang ( Institute of Information and Communication Engineering, Zhejiang University, Hangzhou 310027, China )
Combining the features of unstructured road and the maximum entropy theory used in image processing, algorithm based on the maximum entropy theory is proposed to classify the unstructured road. In the former algorithms, itdifficult to distinguish shadows from the unstructured road, and there are always some mistakes at the boundary of the roand surroundings. So by using maximum entropy classification twice and combining these regions, roads and surroundincan be recognized successfully. Meanwhile, it satisfies the real-time demand.
【CateGory Index】： TP391.41