Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/43568
Title: An effective motion-blurred image restoration approach for automated optical inspection
Authors: Wu, CH
Tseng, KK
Ng, CK
Ip, WH 
Keywords: Automated optical inspection
Cepstrum
Image restoration
Motion blur
Point spread function
Issue Date: 2015
Publisher: Hong Kong Institution of Engineers
Source: HKIE transactions, 2015, v. 22, no. 4, p. 252-262 How to cite?
Journal: HKIE transactions 
Abstract: This paper presents a real-time restoration method for linear local motion-blurred images in automated optical inspection (AOI). The proposed approach is to firstly divide such an image into many sub-images and then detect the blurred sub-image by the gradient distribution and the cepstrum maximum. For a blurred sub-image, the blur direction and blur length are estimated in order to calculate the parameters of the point spread function (PSF). The Richardson-Lucy deconvolution algorithm and Wiener filtering are employed to restore this blurred sub-image. Through experimentation, the proposed algorithm produces good results on blurred images caused by the linear motion AOI equipment. To test its performance, the proposed algorithm is compared with other approaches by using a real captured printed circuit board (PCB) image, and it is proven to be superior to the others in terms of accuracy.
URI: http://hdl.handle.net/10397/43568
ISSN: 1023-697X (print)
2326-3733 (online)
DOI: 10.1080/1023697X.2015.1102655
Appears in Collections:Journal/Magazine Article

Access
View full-text via PolyU eLinks SFX Query
Show full item record

Page view(s)

13
Last Week
1
Last month
Checked on Jan 15, 2017

Google ScholarTM

Check

Altmetric



Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.