An Improved Canny‐Zernike Subpixel Detection Algorithm
Zhicheng Wang, Zhe Wang, Nanhai Huang, Jie Zhao
Abstract
This paper proposed a new subpixel detection method that detects subpixel edges directly, as opposed to the previous method, which requires crossing the entire image. It shows superior subpixel detection on the edge directly, which enhances subpixel edge detection speed significantly. In order to overcome the problem of noise reduction, this paper employs bilateral filtering. The method first performed coarse localization with the improved operator to determine the coordinates and gradient direction of the edge points. Then, the Zernike moment algorithm was used for subpixel repositioning of edge points. Finally, subpixel level edge positioning of the image is obtained. The detection algorithm is used to identify the edges of large‐size workpieces, and the results reveal that the approach has superior positioning accuracy, noise immunity, and fast detection speed.