基于改进的Zernike矩亚像素边缘提取算法外螺纹非接触测量

上海交通大学学报（自然版） ›› 2014, Vol. 48 ›› Issue (10): 1468-1472.

• 自动化技术、计算机技术 • 上一篇下一篇

基于改进的Zernike矩亚像素边缘提取算法外螺纹非接触测量

蔡艳1，叶连祥2，孙大为1，田华2，朱俊杰1，胡志云2

（1.上海交通大学材料科学与工程学院，上海 200240；2. 上海纳铁福传动轴有限公司，上海 201315）

收稿日期:2013-10-14

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

CAI Yan1,YE Lianxiang2,SUN Dawei1,TIAN Hua2,ZHU Junjie1,HU Zhiyun2

(1. School of Materials Science and Engineering, Shanghai Jiaotong University, Shanghai 200240, China; 2. Shanghai GKN Drive Shaft Co., Ltd., Shanghai 201315, China)

Received:2013-10-14

摘要/Abstract

摘要：

摘要：为了进一步改善螺纹图像轮廓提取效果、提高螺纹参数的计算测量精度，在分析基于Zernike正交矩亚像素边缘检测算法的基础上，建立了边缘灰度阈值与一阶导数相结合的模型，提高了亚像素边缘点的定位精度，并在此基础上提出了计算螺纹中径和牙型角的新方法.结果表明，该方法对于克服工件表面水油污染、提高检测精度具有显著效果.
关键词：中图分类号：文献标志码： A

关键词: 螺纹检测, 边缘检测, 亚像素, Zernike正交矩

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

中图分类号:

TP 274.5

蔡艳1，叶连祥2，孙大为1，田华2，朱俊杰1，胡志云2. 基于改进的Zernike矩亚像素边缘提取算法外螺纹非接触测量[J]. 上海交通大学学报（自然版）, 2014, 48(10): 1468-1472.

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.

参考文献

［1］徐爱群, 项占琴, 陈子辰. 非接触式自动螺纹检测仪的研制［J］. 浙江大学学报：工学版, 2005(8):11791182.

XU Aiqin, XIANG Zhanqin, CHEN Zichen. Development of noncontact automatic thread measuring instrument ［J］. Journal of Zhejiang University：Engineering Science, 2005, 39 (8):11791182.

［2］李保章, 崔彦平, 李荣延. 视觉测量中基元特征亚像素提取方法的研究［J］. 河北科技大学学报, 2012, 33(2):146149.

LI Baozhang, CUI Yanping, LI Rongyan. Extraction of feature primitives of computer vision ［J］. Journal of Hebei University of Science and Technology, 2012, 33(2):146149.

［3］卜晨, 万鹏. 基于机器视觉的螺纹参数检测［J］. 工业仪表与自动化装置, 2011(3):112114.

BU Chen, WAN Peng. Thread parameters detection based on machine vision ［J］. Industrial Instrument & Automation, 2011(3):112114.

［4］王向阳, 陈景伟, 于永健. 一种基于彩色边缘综合特征的图像检索算法［J］. 模式识别与人工智能, 2010, 23(2):216221.

WANG Xiangyang, CHEN Jingwei, YU Yongjian. An edgebased color image retrieval by using multiple features［J］. PR & AI, 2010, 23(2): 216221.

［5］杨浩, 裴蕾, 李昌顺. 基于Zernike矩亚像素边缘检测的快速算法［J］. 计算机应用研究, 2011, 28(11):43804385.

YANG Hao, PEI Lei, LI Changshun. Fast algorithm of subpixel edge detection based on Zernike moments［J］. Application Research of Computers, 2011, 28(11): 43804385.

［6］Kim W Y, Kim Y S. A regionbased shape descriptor using Zernike moments ［J］. Signal Process Image Communication, 2000(16):95102.

［7］Ghosal S, Mehrolra R. Detection of composite edges［J］. IEEE Transactions on Image Processing, 1994, 3(1):1425.

［8］齐英剑, 池娟, 张彬. 基于Zernike矩亚像素边缘检测的改进算法［J］. 西安邮电学院学报, 2010, 15(5):114116.

QI Yingjian, CHI Juan, ZHANG Bin. Improved algorithm for subpixel edge detection based on Zernike moments ［J］. Journal of Xi’an University of Posts and Telecommunications, 2010, 15(5): 114116.

［9］王会峰, 刘永奎, 汪大宝. 基于小波和Zernike矩的标尺靶亚像素检测算法［J］. 半导体光电, 2010,31(6):3337.

WANG Huifeng, LIU Yongkui, WANG Dabao. Subpixel detection algorithm for rule target based on wavelet transform and Zernike moments ［J］. Semiconductor Optoelectronics, 2010, 31(6): 3337.

[1]	周俊杰, 余建波. 基于机器视觉的加工刀具磨损量在线测量[J]. 上海交通大学学报, 2021, 55(6): 741-749.
[2]	陈浩, 王新杰, 王炅, 席占稳, 聂伟荣. V型电热驱动器理论模型及动态特性[J]. 上海交通大学学报, 2021, 55(10): 1263-1271.
[3]	蒋如意, 刘洪涛, 胡文, 王石刚. 改进的图像距离变换方法在车道检测中应用[J]. 上海交通大学学报（自然版）, 2012, 46(09): 1450-1454.
[4]	毕小伟，朱利民，赵斌. 基于圆环滤波的无衍射光定中算法[J]. 上海交通大学学报（自然版）, 2010, 44(01): 106-0110.