DocumentCode
3494183
Title
Improved Active Shape Model for automatic optical phase identification of microdrill bits in Printed Circuit Board production
Author
Duan, Guifang ; Che, Yen-Wei
Author_Institution
Grad. Sch. of Sci. & Eng., Ritsumeikan Univ., Kusatsu, Japan
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
425
Lastpage
428
Abstract
An improved active shape model (ASM), for automatic optical phase identification of microdrill bits in printed circuit board (PCB) production, is presented. To overcome the limitations of conventional ASM on fitting new instants of microdrill bits, six key landmarks are defined for the initialization and optimization of ASM, and a novel method based on projection profiles is also proposed for these key landmarks detection. In addition, local structures of landmarks are redefined according to the feature of microdrill bit images. The fitted shape points are employed for phase identification of microdrill bits with a correlation coefficient as the distance criterion. Experimental results show that our proposed method outperforms the conventional ASM and can improve the accuracy of phase identification of microdrill bits.
Keywords
automatic optical inspection; correlation methods; drilling; drilling machines; object detection; printed circuit manufacture; active shape model; automatic optical phase identification; correlation coefficient; distance criterion; fitted shape points; key landmarks detection; microdrill bit images; microdrill bits; printed circuit board production; projection profiles; Active shape model; Deformable models; Fitting; Inspection; Neodymium; Optimization methods; Printed circuits; Production; Robustness; Training data; Active Shape Model; key landmark; microdrill bit; phase identification; projection profile;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5414422
Filename
5414422
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