Study on the Image Process of Wheels Based on Machine Vision

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

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

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 179-180Study on the Image Process of Wheels Based on...

Study on the Image Process of Wheels Based on Machine Vision

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.

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Periodical:

Advanced Materials Research (Volumes 179-180)

Pages:

914-919

DOI:

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

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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

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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