RECOGNITION OF BRIDGES OVER WATER BASED ON FRACATAL AND ROUGH SETS THEORY IN AERIAL PHOTOGRAPHY IR IMAGE

In the paper, a novel algorithm based on fractal and rough sets theory for the detection of bridges in image sequences that also contain clutter is presented. The algorithm is established based on fractal theory, which is accordant to the concept that singular local fractal dimension (LFD) will be determined at edges. The bridge is detected based on indiscernibility relation of rough sets theory and is recognized based on the geometric characters of bridges. Experiments on the image tracker based on TMS320C6416 were conducted, and the results demonstrated that the approach performs well in automatic recognition accuracy and computational efficiency