Study on the Positioning Error of Turntable Based on Machine Vision System

Fu Sheng Yu; Zhong Guo Sun; Sheng Jiang Yin; Teng Fei Li; Wei Kang Shi

doi:10.4028/www.scientific.net/AMM.530-531.467

Paper Titles

Research on Intelligent Knowledge Recommendation System for Police Applications
p.447

Simulations of Linearity of Buffon’s Needle Problem
p.452

Steel Strip Defect Detection Based on Human Visual Attention Mechanism Model
p.456

Study on Data Fusion and Optimization Based on Neural Networks
p.463

Study on the Positioning Error of Turntable Based on Machine Vision System
p.467

The Economic Life Assessment of Transformer Based on Random Fuzzy Theory
p.472

The Semantic Label Automatic Sorting Based on the Base Classifier Weighted Voting
p.476

Using LBP to Improve PCNN Performance for Texture Image Retrieval
p.480

Research on the Methods of Identifying Key Node Based on Classical Networks
p.489

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 530-531Study on the Positioning Error of Turntable Based...

Study on the Positioning Error of Turntable Based on Machine Vision System

Abstract:

This paper developed a turntable positioning error measurement system based on machine vision. The system consists of image acquisition devices, the image acquisition card, computer and data processing software and other components. Among them, the image acquisition devices consisted of two digital CCD cameras and two microscope objectives. The image acquisition devices capture images of fixture fixed on the turntable in horizontal and vertical direction. Then, the collected images are processed by adopting the filtering method, binarization method, edge detection method, calibration method and other steps. The high-accuracy measure of turntables positioning errors is realized, and the error histogram is drawn. Theoretical analysis and experimental results show that the method is correct and feasible.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 530-531)

Pages:

467-471

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.530-531.467

Citation:

Cite this paper

Online since:

February 2014

Authors:

Fu Sheng Yu, Zhong Guo Sun*, Sheng Jiang Yin, Teng Fei Li, Wei Kang Shi

Keywords:

Edge Detection, Error Measurement, Gray Moment, Machine Vision

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] Qiang Liao, Yi Zhou, Lin Mi. The Applications of Machine Vision to Precision Measurement, Journal of Chongqing University. 2002, 25(6): 1-4. (In Chinese).

Google Scholar

[2] Qiang Liao, Lin Mi, Yi Zhou. Design for precision measurement system based on machine vision, Journal of Chongqing University. 2002, 25(12): 21-23. (In Chinese).

Google Scholar

[3] Qiang Liao, Lili Chen. Vision-Based Precision Measurement Technology for O-Ring Seal Size, Journal of Southwest jiaotong University. 2013, 48(1): 122-128. (In Chinese).

Google Scholar

[4] Qingmin Liu, Longshan Wang, Xiangwei Chen. Ban nut detection by machine Vision, Journal of Jilin University (Engineering and Technology Edition) . 2006, 36(4): 534-538. (In Chinese).

Google Scholar

[5] Cuiyun Jin, Shijiu Jin, Dachao Li. Measurement Technique of in-Plane Motion for Micro-Structure Based on Machine Micro-Vision, Journal of Tianjin University. 2005, 38(8): 248-252. (In Chinese).

DOI: 10.1109/icsict.2004.1435209

Google Scholar

[6] Jun Luo, Yan Hou, Li Fu. An improved algorithm for sub-pixel edge detection using gray moment, Journal of Chongqing University. 2008, 31(5): 549-552. (In Chinese).

Google Scholar