Affiliation:
1. Mechanical and Electronic Engineering Institute, East China University of Technology, Nanchang 330013, China
2. Jiangxi Province New Energy Technology and Equipment Engineering Technology Research Center, Nanchang 330013, China
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.
Funder
Key R&D Program Projects of Jiangxi Province
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems
Cited by
1 articles.
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