Paper Titles
Research of Advancing Mechanism with Three Circular Arc Equidistant Profile Connection of Drill
p.895
The Realization of the IP QoS Based on Network Processor
p.899
Analysis of Hot Leveling Deformation Rate on the Residual Stress of Steel Plate
p.904
A New Buffer Management Mechanism for QoS-Aware IP Router
p.909
Study on the Image Process of Wheels Based on Machine Vision
p.914
A Hybrid Nested Partitions Algorithm Combing with Genetic Algorithm for Job Shop Flexible Resource Scheduling
p.920
Study on the Application of Virtual Reality in Transportation Traffic Problem
p.925
The Application of Fuzzy Neural Network in Data Mining
p.930
Stress Distribution in the Cantilevered Single-Lap Adhesive Joint
p.936

Study on the Image Process of Wheels Based on Machine Vision

Article Preview

Abstract:

This paper introducted the machine vision technology into the field of wheel suspension coating, used the industrial cameras for the image information of the wheel center and the valve hole, did the edge detection of the valve hole and the wheel based on visual c++ platform ,making the image feature extraction and analysis, thus completing image recognition of the wheel center and the valve hole, realized hang the wheels to the conveyor of automatically.

You might also be interested in these eBooks
Materials Science and Engineering View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 179-180)

Pages:

914-919

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.179-180.914

Citation:

Cite this paper

Online since:

January 2011

Authors:

Shi Feng Wang, Chang Chun Li, Jing Yu, Tian Hou Zhang

Keywords:

Edge Detection, Image Detection, Machine Vision, Valve Hole, Wheel

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

References

[1] Changchun Li, Tianhou Zhang, Shifeng Wang. Study on Vehicle Wheel Automatic Recognition Based on the Manufacturing. Advanced Materials Research. Vols. 97-101 (2010): 1312-1316.

DOI: 10.4028/www.scientific.net/amr.97-101.1312

Google Scholar

[2] Andre Weise．Image processing achieve robot automation [J]．Modern Manufacturing, 2007, (19): 59.

Google Scholar

[3] Tuo Wang, Zhixiong Jiang, Yingchu Wang．Identification and Orientation of Cotton Seedling under Plastic Film Based on Machine Vision [J]．Computer Applications and Engineering, 2005, (24): 215-216.

Google Scholar

[4] Shengrong Gong, Chun Liu, Qiang Wang．Digital Image Processing and Analysis [M]．Beijing：Tsinghua University Publish，(2006).

Google Scholar

[5] Min Huang, Jing Jiang．The research of key-frame extraction based on adaptive thresholddetection of multi-features [J]．JOURNAL OF ZHENGZHOU INSTITUTE OF LIGHT INDUSTRYNATURAL SCIENCE EDITION, 2009, 6: 82-85.

Google Scholar

[6] Jun He, Yufeng Wang．Survey on the Methods of Image Segmentation Research [J]．COMPUTER ENGINEERING AND SCIENCE, 2009, 12(31); 58-60.

Google Scholar

[7] Zongqi Lu．C / C + + image processing program [M]．Beijing：Tsinghua University Publish, (2005).

Google Scholar

[8] Yinghui Sun, Dongbing Pu．Edge Detection Research on Laplace Operator.

Google Scholar

[9] Yaqin Tang．A Review of Several Image Smoothing and Denoising Methods [J]．Journal of Southwest University, 2009, 11(30): 125-128.

Google Scholar

[10] Shuying Yang．VC + + Image Processing System [M]．Beijing：Tsinghua University Publish，(2003).

Google Scholar