NDLI: Accurate localization of circular mark based on interpolation algorithm and modified Hough transform

Content Provider	IEEE Xplore Digital Library
Author	Qianqian Wang Nongliang Sun Maoyong Cao Anqing Chen Di Fan
Copyright Year	2008
Description	Author affiliation: Coll. of Inf. & Electr. Eng, Shandong Univ. of Sci. & Technol., Qingdao (Qianqian Wang; Nongliang Sun; Maoyong Cao; Anqing Chen; Di Fan)
Abstract	The recognition and precise centering of circular fiducial mark play a critical role in the localization of printed circuit board (PCB) and electronic components mounting. This paper proposes an effective and practical approach to detect the circular mark and calculate its accurate position in the image. The basic idea is to first estimate the center and the radius from the segmentation region of circular mark, then generate a high resolution image based on the edge-directed spatial interpolation from the original intercepted image only containing the mark and small background regions and finally calculate the accurate center coordinate of circular mark using the modified Hough transform. The novel hybrid scheme has improved the positional accuracy of the circular mark to approximate 2.5 mum which is equal to a quarter of the side of the pixel in the original captured image. Experimental results demonstrate that the approach has achieved noticeably better performance than the fast detection method in the precise centering.
Starting Page	1752
Ending Page	1757
File Size	932763
Page Count	6
File Format	PDF
ISBN	9781424421138
DOI	10.1109/WCICA.2008.4593186
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-06-25
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interpolation Image edge detection Transforms Pixel Image resolution Accuracy Image segmentation modified Hough transform high precision circular fiducial mark of PCB high-resolution edge-directed interpolation
Content Type	Text
Resource Type	Article

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