Non-Contact Measurement for Outside Screw Based on a Modified  Sub-Pixel Edge Detection Algorithm of Zernike Moments

Abstract

Abstract:

Abstract： In order to improve the measurement accuracy of screw using the modified edge detection method and the optimized algorithm of characteristic parameters, a first-order derivative model combined with the edge gray threshold was proposed based on the subpixel edge detection algorithm and the Zernike moments. A new method was designed to calculate characteristic parameters, including pitch diameter and thread angle. The results show that the modified algorithm has improved the precision and adaptive capacity of the measurement method.

Key words: screw measurement, edge detection, sub pixel, Zernike moments

CLC Number:

TP 274.5

CAI Yan1,YE Lianxiang2,SUN Dawei1,TIAN Hua2,ZHU Junjie1,HU Zhiyun2. Non-Contact Measurement for Outside Screw Based on a Modified Sub-Pixel Edge Detection Algorithm of Zernike Moments[J]. Journal of Shanghai Jiaotong University, 2014, 48(10): 1468-1472.

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Non-Contact Measurement for Outside Screw Based on a Modified Sub-Pixel Edge Detection Algorithm of Zernike Moments

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