Abstract:Traditional edge detection algorithms are low in noise immunity, high in edge continuity,redundant in edge details,and poor in the applicability for moving target detection.In order to treat these problems,a multiscale fused edge detection algorithm was proposed based on non-sampling Difference of Gaussian (DoG) Pyramid.With the concept of multiscale image,the algorithm combined the accurate edge information in small scale image and strong noise immunity and low edge redundancy in large scale image.Experiments verified the effectiveness of the proposed algorithm.Analysis of Abdou-Pratt quality factor on the fused edge image showed that the proposed algorithm is strong in noise immunity and accurate in edge location.Analysis of edge continuity showed that the proposed algorithm decreases edge continuity while keeps main edges,and obtains edges with higher continuity.Experiment result of vehicle detection showed that the vehicle detection result based on the proposed algorithm has higher accuracy.