An Improved Adaptive Edge Detection Algorithm based on Canny

被引：2
|
作者：
Fu, Fengzhi [1 ]
Wang, Chenyuan [1 ]
Li, Yanlei [1 ]
Fan, Hua [1 ]
机构：
[1] Qilu Univ Technol, Shandong Acad Sci, Laser Inst, Jinan, Shandong, Peoples R China
来源：
SIXTH INTERNATIONAL CONFERENCE ON OPTICAL AND PHOTONIC ENGINEERING (ICOPEN 2018) | 2018年 / 10827卷
关键词：
Canny edge detection; anisotropic diffusion filter; noise suppression; detail protection;
D O I：
10.1117/12.2500361
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The traditional Canny algorithm has the problem of edge loss in the process of smoothing the image and needs to set up the high and low threshold, an improved adaptive edge detection algorithm based on Canny is proposed in this paper. Firstly, the improved anisotropic diffusion filter is used to smooth the image, and the edge is protected when de-noising. Then, 4 gradient templates in horizontal direction, vertical direction, 45 degrees direction, and 135 degrees direction are used to calculate gradient amplitude. Finally, the threshold is adaptively determined according to the gray histogram of image. Experimental results indicate that the proposed algorithm has better anti-noise performance while detecting more edge details.
引用
收藏
页数：6
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