DocumentCode
3282768
Title
The Study of Automate Locate Special Fiducial Marks
Author
Yu-Ching Lin ; Yu-Ying Chiu ; Hau-Wei Lee ; Bo-Yan Jhan ; Chuen-Horng Lin
Author_Institution
Dept. of Comput. Sci. & Inf. Eng., Nat. Taichung Univ. of Sci. & Technol. Taichung, Taichung, Taiwan
fYear
2012
fDate
25-28 Aug. 2012
Firstpage
51
Lastpage
54
Abstract
This study proposed an automatic positioning technology for the precision special fiducial mark(SFM). It divided the precision SFM into the fiducial mark of double circle and the fiducial mark of corner before positioning according to SFM. First, a standard fiducial mark (FM) known as reference fiducial mark (RFM) was selected. Then, according to RFM, the FM of other fiducial mark images was compared before locating the coordinates of the FM in the image. the double circle detection was to first cut the external circle and then cut the internal circle according to the relationship between the external circle and the internal circle. the corner detection determined the intersection of the two contour straight lines of the object. the experimental results proved that the proposed automatic positioning technology for special FMs can accurately locate the special FMs to save labor and avoid artificial measurement misjudgment and unnecessary harms to the operational personnel.
Keywords
edge detection; image matching; image segmentation; position control; RFM; SFM; automate locate special fiducial marks; automatic positioning technology; contour straight lines; corner detection; double circle detection; fiducial mark images; reference fiducial mark; standard fiducial mark; Frequency modulation; Image edge detection; Image segmentation; Noise; Standards; Transforms; corner detection; double circle detection; fiducial mark; matching; segmentation;
fLanguage
English
Publisher
ieee
Conference_Titel
Genetic and Evolutionary Computing (ICGEC), 2012 Sixth International Conference on
Conference_Location
Kitakushu
Print_ISBN
978-1-4673-2138-9
Type
conf
DOI
10.1109/ICGEC.2012.144
Filename
6457169
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