Title :
A Novel Corner Point Detector for Calibration Target Images Based on Grayscale Symmetry
Author :
Guan, Xu ; Jian, Su ; Hongda, Pan ; Zhiguo, Zhang ; Haibin, Gong
Author_Institution :
Traffic & Transp. Coll., Jilin Univ., Changchun, China
Abstract :
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.
Keywords :
calibration; grey systems; image recognition; vehicles; Gassian weighted symmetry detector; Harris algorithm; calibration target images; corner cluster phenomenon; corner detection algorithm; detecting corners location; feature corner recognition; grayscale symmetry; novel corner point detector; vehicle test system; vision based measurement system; vision measured field; Algorithm design and analysis; Area measurement; Calibration; Clustering algorithms; Detectors; Gray-scale; System testing; Target recognition; Vehicle detection; Vehicles; Gassian fuction; calibration target; corner detection; grayscale symmetry; image processing; wheel alignment system;
Conference_Titel :
Computational Intelligence and Design, 2009. ISCID '09. Second International Symposium on
Conference_Location :
Changsha
Print_ISBN :
978-0-7695-3865-5
DOI :
10.1109/ISCID.2009.23
