A Novel Heuristic Search Algorithm for Edge Extraction in Noise Image
DONG YinWen1,2, GUO Lei2, YAO Jun2
1.School of Electronical Engineering, Naval University of Engineering, Wuhan 430033 2.School of Automation, Northwestern Polytechnical University, Xi’an 710072
Abstract：A novel heuristic search algorithm based on subedge selfreinforce for edge extraction in noise image is proposed in this paper. Firstly, The noise image is filtered by a small scale Gaussian Filter. Then a new Large Template Edge Detector is designed in order to get more accurate leading information, and the corresponding search trajectories are selfreinforced according to this information. Finally, the real edge of noise image is extracted according to the accumulated degree of selfreinforces. The new Large Template Edge Detector has good performance in orientation precision, noise resistance and false edge. Experimental results on image with noise demonstrate better performance of the proposed method, which keeps more image details in extracting real edges of objects, compared with the classical methods, especially Canny Operator.
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2006, Vol. 19 
