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

[1]  Bidyut Baran Chaudhuri,et al.  Multifractal and generalized dimensions of gray-tone digital images , 1995, Signal Process..

[2]  Alex Pentland,et al.  Fractal-Based Description of Natural Scenes , 1984, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[3]  Bidyut Baran Chaudhuri,et al.  Texture Segmentation Using Fractal Dimension , 1995, IEEE Trans. Pattern Anal. Mach. Intell..

[4]  Bir Bhanu,et al.  Predicting object recognition performance under data uncertainty, occlusion and clutter , 1998, Proceedings 1998 International Conference on Image Processing. ICIP98 (Cat. No.98CB36269).

[5]  Zhiguo Cao,et al.  Knowledge-based recognition algorithm for long-range infrared bridge images , 2001, SPIE Defense + Commercial Sensing.

[6]  John M. Irvine.  Evaluation of ATR algorithms employing motion imagery , 2001, Proceedings 30th Applied Imagery Pattern Recognition Workshop (AIPR 2001). Analysis and Understanding of Time Varying Imagery.