Adaptive edge-detection method based on Canny algorithm

Abstract

The traditional Canny edge detection algorithm is lack of the automation process capabilities in the edge detection.On the basis of the traditional Canny edge detection algorithm,a new method of adaptive Canny algorithm is proposed.The new method Smooth the original image with scale-adaptive Gaussian filter,which retain the edge information and remove the impact of noise.After the Otsu’s method applied to image gradient histogram which generated by non-maximal suppression,the new method obtain high and low thresholds automatically in the process of edge detection and connection.With theoretical and experimental results,it is demonstrated that the improved Canny algorithm is simple and easy to realize,fulfilling the optimization criteria of the original algorithm.Moreover,compared with the traditional algorithm,the new method provids the automation process capabilities and show good detection results.