|Table of Contents|

[1] Chen Fang, Chen Kai, Zhao Binwen, Shi Jinfei, et al. A novel method for eliminating rotation deviationin sequential images mosaic [J]. Journal of Southeast University (English Edition), 2012, 28 (4): 434-437. [doi:10.3969/j.issn.1003-7985.2012.04.011]
Copy

A novel method for eliminating rotation deviationin sequential images mosaic()
Share:

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:
28
Issue:
2012 4
Page:
434-437
Research Field:
Computer Science and Engineering
Publishing date:
2012-12-30

Info

Title:
A novel method for eliminating rotation deviationin sequential images mosaic
Author(s):
Chen Fang1 Chen Kai1 Zhao Binwen1 Shi Jinfei1 2
1 School of Mechanical Engineering, Southeast University, Nanjing 211189, China
2 Nanjing Institute of Technology, Nanjing 211167, China
Keywords:
sequential images mosaic linear profile chain code rotation deviation
PACS:
TP394.1
DOI:
10.3969/j.issn.1003-7985.2012.04.011
Abstract:
To eliminate rotation deviation of sequential images mosaic when measuring linear dimensions of large scale parts with computer vision, a novel algorithm based on the chain code searching method is proposed. After image preprocessing, including image filtering, image segmentation, and edge detection, the chain code length of the contour line can be searched out by the proposed method. Then, the angle from the contour line to the coordinate axis is computed with the length of the contour line. After that, the sequence is rotated in the opposite direction and the rotation deviation is eliminated. It is prepared for the next mosaic of sequences in eliminating shifting deviation. Experiments are carried out on parts with a linear profile rotating angle from 0° to 9°. The results show that compared with the commonly used Hough transform, the new method has higher precision and faster speed, which is important in realizing online high precision measurements of large scale parts with a linear profile.

References:

[1] Wei Guang, Tan Qingchang. Measurement of shaft diameters by machine vision [J]. Optical Society of America, Applied Optics, 2011, 50(19):3246-3253.
[2] Igathinathane C, Pordesimo L O, Batchelor W D. Major orthogonal dimensions measurement of food grains by machine vision using Image[J]. Food Research International, 2009, 42(1):76-84.
[3] Bologa B, Darbant A S. Computer vision aided measurement of morphological features in medical optics[J]. Studia University Babes-Bolyai Informatica, 2010, 55(3):111-120.
[4] Leil Y. A machine vision system for inspecting bearing-diameter[C]//Proceedings of the 5th World Congress on Intelligent Control and Automation. Hangzhou, China, 2004: 3904-3906.
[5] Hung Y Y, Lin L, Park B G. Practical 3D computer vision techniques for full-field surface measurement[J]. Optical Engineering, 2000, 39(1):143-149.
[6] Liu J W, Liang J, Liang X H, et al. Industrial vision measuring system for large dimension work-pieces [J].Opt Precision Eng, 2010, 18(1): 126-134.(in Chinese)
[7] He B X. Research on methods of quality prediction and control for multi-source multi-stage manufacturing processes [D]. Nanjing: School of Mechanical Engineering, Southeast University, 2008.(in Chinese)
[8] Kuglin C D, Hines D C. The phase correlation image alignment method[C]//Proc IEEE 1975 Int Conf Cybernetics and Society. New York, USA, 1975: 163-165.
[9] Li Q L. Some theory and application research of image registration [D]. Wuhan: School of Mechanical Engineering, Huazhong University of Science and Technology, 2009.(in Chinese)

Memo

Memo:
Biographies: Chen Fang(1969—), female, graduate, lecturer, fchen@seu.edu.cn; Shi Jinfei(1964—), male, doctor, professor, shijf@seu.edu.cn.
Foundation items: The National Natural Science Foundation of China(No.50805023), the Program for Special Talent in Six Fields of Jiangsu Province(No.2008144), Jiangsu Provincial Science and Technology Achievement Transformation Project(No.BA2010093).
Citation: Chen Fang, Chen Kai, Zhao Binwen, et al. A novel method for eliminating rotation deviation in sequential images mosaic[J].Journal of Southeast University(English Edition), 2012, 28(4):434-437.[doi:10.3969/j.issn.1003-7985.2012.04.011]
Last Update: 2012-12-20