Algorithm Research of Two-Dimensional Size Measurement on Parts Based on Machine Vision

Article Preview

Abstract:

With the rapid development of computer science, image processing, and pattern recognition, people are paying more and more attention on research and application of machine vision, which has resulted in excellent results in many fields. Depending on the features of untouched, fast-speed, real-time, proper precision, anti-interference, the inspection technology based on machine vision has been researched deeply and comprehensive applied aboard. Recently, the size measurement technology based on machine vision has been applied in the size measurement of the machine processing parts. A case study of typical regular mechanical parts, algorithm of position and size measurement of line, circle center and radius are researched, and good results are got, which established an academic foundation for further measurement of complex parts.

You might also be interested in these eBooks

Info:

Periodical:

Advanced Materials Research (Volumes 694-697)

Pages:

1945-1948

Citation:

Online since:

May 2013

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2013 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] Wenjing Zhang, Wenyuan Zhang and Jiangfeng Su. Computer vision detection technology and its application on inspection of machined parts. Journal of Shanghai Jiao Tong University,1999, 33(5):635-638.

Google Scholar

[2] Qifeng Yu,Hongwei Lu and Xiaolin Liu. precise measurement and motion measurement based on Image[M]. Beijing: Science Press, 2002.

Google Scholar

[3] Haralick RM, Sternberg SR and Xinhua Zhang. Image Analysis Using Mathematical Morphology. IEEE Trans on PAMI, 1987, 9(4):532

Google Scholar

[4] S.Mallat, WL.Hwang. Singularity Detection and Processing with Wavelets. IEEE Trans On Information Theory,1992,38(2):617

DOI: 10.1109/18.119727

Google Scholar

[5] Shouren Hu. Application technology of neural network. national defense science and Technology press, (1993)

Google Scholar

[6] Wunfan Chen. A New Algorithm of Edge Detection for Color Image. Generalized Fuzzy Operator.Science in China(A),1995,38(10):1272

Google Scholar

[7] Chunguang Jia, Weixue Lu. Based on deformable contour image matching method. Journal of computer-aided design & Computer Graphics,1999,11(2):115

Google Scholar

[8] Deming Wang, Boying Wu. Numerical analysis. Harbin press, 2001:98~102, in Chinese

Google Scholar