Title :
RECOGNITION OF BRIDGES OVER WATER BASED ON FRACATAL AND ROUGH SETS THEORY IN AERIAL PHOTOGRAPHY IR IMAGE
Author :
Zheng Junjie ; Yan Xiaoke ; Shi Caicheng ; He Peikun
Author_Institution :
Navy Unit, Liaoning
Abstract :
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
Keywords :
clutter; fractals; image recognition; image sequences; infrared imaging; photography; rough set theory; TMS320C6416; aerial photography IR image; automatic recognition; bridges detection; clutter; fractal theory; image sequences; image tracker; local fractal dimension; rough sets theory; Bridges; Fractals; Image edge detection; Image recognition; Layout; Pattern recognition; Photography; Rough sets; Set theory; Target recognition;
Conference_Titel :
Signal Processing, 2006 8th International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9736-3
Electronic_ISBN :
0-7803-9736-3
DOI :
10.1109/ICOSP.2006.346131
