Sub-pixel detection of screw tooth profile based on improved Zernike moments

被引：0

作者：

Xu, Yang ^{[1
]}

Wang, Xiao ^{[1
]}

Zhong, Peisi ^{[1
]}

Bi, Yanzhi ^{[1
]}

Liu, Mei ^{[2
]}

Ge, Weiwei ^{[3
]}

机构：

[1] Shandong Univ Sci & Technol, Adv Mfg Technol Res Ctr, Qingdao 266590, Shandong, Peoples R China

[2] Shandong Univ Sci & Technol, Coll Mech & Elect Engn, Qingdao 266590, Shandong, Peoples R China

[3] Qingdao Huanghai Univ, Coll Intelligent Mfg, Qingdao 266555, Shandong, Peoples R China

来源：

PROCEEDINGS OF INTERNATIONAL CONFERENCE ON ALGORITHMS, SOFTWARE ENGINEERING, AND NETWORK SECURITY, ASENS 2024 | 2024年

关键词：

Ball screw; Canny Calculator; Zernike moments; Sub-pixel edge detection;

D O I：

10.1145/3677182.3677284

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

In order to improve the measurement accuracy of ball screw geometry, a sub-pixel detection method of ball screw contour based on improved Zernike moments is proposed. Firstly, the acquired ball screw image is smoothed by median filtering, and then the Canny operator is selected to coarsely locate the edges of the tooth contour to extract the edge pixels of the target area where the contour of the ball screw to be measured is located. On the basis of Ghosal algorithm, an improved Zernike algorithm is proposed to obtain the sub-pixel edge coordinates of the image. After experiments, it is shown that the detection method has the advantages of high accuracy and good stability for the positioning of sub-pixel edge coordinates.

引用

页码：571 / 574

页数：4

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