Study on CCD Measurement System Based on Image Processing

Wen Hui Zhao; Zhen Yun Duan; Ping Zhao; Wen Zhen Zhao

doi:10.4028/www.scientific.net/AMR.538-541.2143

Paper Titles

The Determination of Reliability Test Times for Dynamic Mechanism
p.2125

Applying Image Processing Methods to Positional Error Evaluation for a Microhole Array
p.2131

Study on Corrosion Resisting Properties of High Precision 2Cr13 Narrow Steel Strip under Large Ratio of Width to Thickness
p.2135

Study on the Surporting Mechanism of Precision Turning Process of Big-Diameter Length Rate Shaft by the Central Frame
p.2139

Study on CCD Measurement System Based on Image Processing
p.2143

Research on the Sampling Frequency’s Range to Improve the Precision of All-Phase FFT Phase Measurement
p.2147

Application of Stress GM (1,1) Residual Error Model with New Equal Dimension Information on Bridge Construction Control
p.2153

Monocyclic Aromatic Compounds Detection with High Field Asymmetry Waveform Ion Mobility Spectrometry
p.2159

Design Method about Spherical Diaphragm Sealing of Tube Channel in High Pressure Heat Exchanger
p.2164

HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 538-541Study on CCD Measurement System Based on Image...

Study on CCD Measurement System Based on Image Processing

Abstract:

The measurement system based on industry CCD and image processing was established to measure 2D sizes of parts. The CCD sensors, lenses, illumination and image acquisition modes were chosen to establish hardware part, according to the requirement of views and precision. The software system was developed to extract the edge of the part from the digital image and transform it to a polynomial. The actual sizes of the part were measured with relative comparison calibrating method. Tests and analyses show that it is an untouched, automatic 2D Measurement system with high accuracy.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Advanced Materials Research (Volumes 538-541)

Pages:

2143-2146

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.538-541.2143

Citation:

Cite this paper

Online since:

June 2012

Authors:

Wen Hui Zhao, Zhen Yun Duan, Ping Zhao, Wen Zhen Zhao

Keywords:

Calibration, Image Processing, Industry CCD, Pixel Sub-Division Algorithm

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

References

[1] Fujun Chi, Min Chen. Research on Key Technology of Image Measurement system. Equipment Manufactring Technology (2011), pp.43-45.( In Chinese)

Google Scholar

[2] Steger C, Ulrich M, Wiedemann C. Machine vision algorithms and applications [M]. Beijing: Tsinghua University Press (2008), pp.39-41.

Google Scholar

[3] Jiliu Zhou, Xiaoqian Zhan, Kun He, Chang Liu. Image edge detection based on statistical estimation[J]. Journal of Shenyang University of Technology (2010), P.665-671. ( In Chinese)

Google Scholar

[4] Yung-Chieh Lin, Yu-Pao Tsai, Yi-Ping Hung, and Zen-Chung Shih, et al. Comparison between immersion-based and toboggan-based watershed image segmentation [J].IEEE Transactions on Image Processing (2006), pp.632-640.

DOI: 10.1109/tip.2005.860996

Google Scholar

[5] Yingdong Qu; Xinzhi Sun; Rongde Li; Yanhua Bai; Tongbang Liu; Guanghui Ma. Noise proof feature of original Zernike moment edge operator[J]. Journal of Shenyang University of Technology (2010), pp.546-549. ( In Chinese)

Google Scholar

[6] Gilles Aubert, Pierre Kornprobst. Mathematical problems in image processing [M]. Beijing: world Publish Company (2005), pp.129-179.

Google Scholar

[7] Min Yang, Bangyan Ye, Li Mou, et al. Method of Straight Line Edge Subpixel Localization for Mechanical Part Image [J]. Journal of South China University of Technology (Natural Science Edition). (2003), pp.30-33. ( In Chinese)

Google Scholar