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Academic Journal of Computing & Information Science, 2022, 5(1); doi: 10.25236/AJCIS.2022.050114.

Research on Image Contour Edge Analysis Based on Canny Edge Detector


Linjun Zhao, Ruisha Zhu

Corresponding Author:
Linjun Zhao

School of Computer Science and Information Engineering, Hubei University, Wuhan Hubei, 430062, China


In this paper, aiming at the sub-pixel edge contour detection method, the sub-pixel edge contour extraction model and camera imaging geometric model are established step by step. Firstly, the improved anti-tangent function model based on canny operator is adopted. Firstly, the image is grayed out, then the edge of canny operator is detected by Gaussian filter, and a better method of edge detection after extended smoothing is proposed. Extract the sub-pixel edge outline of the target, then detect and fit lines, curves and circles, and mark them with different colors. Then for the correction of the image captured by the camera, this paper uses an image calibration model based on Zhang Zhengyou camera calibration method. The camera is calibrated by the calibration picture given, the internal and external parameters of the camera are obtained, and the unit matrix is calculated. Using the given definition of calibration board information, the number of pixels per millimeter pixel in the image is estimated. The research is helpful to improve the accuracy of sub-pixel edge contour detection and improve the image edge detection of industrial parts to a certain extent.


Subpixel Edge Outline, Canny Edge Detector, Camera Calibration

Cite This Paper

Linjun Zhao, Ruisha Zhu. Research on Image Contour Edge Analysis Based on Canny Edge Detector. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 1: 70-75. https://doi.org/10.25236/AJCIS.2022.050114.


[1] Peter Sussner, Lisbeth Corbacho Carazas. An Approach Towards Image Edge Detection Based on Interval-Valued Fuzzy Mathematical Morphology and Admissible Orders [P]. Proceedings of the 11th Conference of the European Society for Fuzzy Logic and Technology (EUSFLAT 2019), 2019.

[2] Hui Zhang, Xiating Jin. A Method for New Energy Electric Vehicle Charging Hole Detection and Location Based on Machine Vision [P]. Proceedings of the 2016 5th International Conference on Environment, Materials, Chemistry and Power Electronics, 2016. 

[3] He Chunhua, ZHANG Xuefei, Hu Yingchun.Research on edge detection algorithm based on improved Sobel operator [J]. Optical technology, 2012, 38(03): 323-327.

[4] Wang Wenhao, Jiang Mingxin, Zhao Wendong.Edge detection algorithm improved by canny operator [J]. China science and technology papers, 2017, 12(08): 910-915.

[5] Yosip Y. Bylinsky et al. Subpixel edge detection method based on low-frequency filtering [C]. Wilga, Poland, 2016.