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2009 Second International Symposium on Computational Intelligence and Design
A Novel Corner Point Detector for Calibration Target Images Based on Grayscale Symmetry
Changsha, Hunan, China
December 12-December 14
ISBN: 978-0-7695-3865-5
ASCII Text
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Xu Guan, Su Jian, Pan Hongda, Zhang Zhiguo, Gong Haibin, "A Novel Corner Point Detector for Calibration Target Images Based on Grayscale Symmetry," Computational Intelligence and Design, International Symposium on, vol. 1, pp. 64-67, 2009 Second International Symposium on Computational Intelligence and Design, 2009.
 
 
BibTex
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@article{ 10.1109/ISCID.2009.23,
author = {Xu Guan and Su Jian and Pan Hongda and Zhang Zhiguo and Gong Haibin},
title = {A Novel Corner Point Detector for Calibration Target Images Based on Grayscale Symmetry},
journal ={Computational Intelligence and Design, International Symposium on},
volume = {1},
year = {2009},
isbn = {978-0-7695-3865-5},
pages = {64-67},
doi = {http://doi.ieeecomputersociety.org/10.1109/ISCID.2009.23},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computational Intelligence and Design, International Symposium on
TI - A Novel Corner Point Detector for Calibration Target Images Based on Grayscale Symmetry
SN - 978-0-7695-3865-5
SP64
EP67
A1 - Xu Guan,
A1 - Su Jian,
A1 - Pan Hongda,
A1 - Zhang Zhiguo,
A1 - Gong Haibin,
PY - 2009
KW - image processing
KW - corner detection
KW - calibration target
KW - Gassian fuction
KW - grayscale symmetry
KW - wheel alignment system
VL - 1
JA - Computational Intelligence and Design, International Symposium on
ER -
 
The research of feature corner recognition for the calibration target is a crucial area for a vision-based measurement system. For the disability of detecting the corner’s location in a vehicle test system accurately, the theoretical errors based on Harris algorithm are analyzed. Experimental results show that the method can not be used in the vision-measured field as the corner cluster phenomenon. The novel corner detection algorithm based on grayscale symmetry is presented. The Gassian weighted symmetry detector is designed to illustrate the symmetrical feature around the optimal corner. Further Experimental results show that the detector proposed can be used to test the corner locations of the calibration target precisely.
Index Terms:
image processing, corner detection, calibration target, Gassian fuction, grayscale symmetry, wheel alignment system
Citation:
Xu Guan, Su Jian, Pan Hongda, Zhang Zhiguo, Gong Haibin, "A Novel Corner Point Detector for Calibration Target Images Based on Grayscale Symmetry," iscid, vol. 1, pp.64-67, 2009 Second International Symposium on Computational Intelligence and Design, 2009
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