DocumentCode :
1624083
Title :
An Efficient Vision Algorithm for fast and fine Mask-Panel Alignment
Author :
Park, ChanSik ; Kwon, SangJoo
Author_Institution :
Sch. of Aerosp. & Mech. Eng., Hankuk Aviation Univ., Goyang
fYear :
2006
Firstpage :
1441
Lastpage :
1445
Abstract :
In a display or semiconductor mass production line, it is highly required to make an advance for the alignment process technology to reduce the overall tact time. If the vision that extracts the misalignment quantity between mask and panel is progressed, there are a lot of chances to achieve higher productivity. In this paper, based on these underlying assumptions to reduce the tact time, we focus on upgrading the level of vision algorithm which determines the misalignment between mask and panel. First of all, we are to investigate existing algorithms and propose an effective machine vision algorithm for the alignment system. Then, by using the visual alignment experimental setup composed of CCD camera and control PC, we verify how well it performs
Keywords :
computer vision; feature extraction; pattern matching; CCD camera; feature extraction; fine mask-panel alignment; machine vision algorithm; pattern matching; Aerospace engineering; Displays; Labeling; Machine vision; Mechanical engineering; Morphology; Noise shaping; Pattern matching; Pattern recognition; Shape; Visual alignment; feature pixel; labeling; morphology; pattern matching;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
Type :
conf
DOI :
10.1109/SICE.2006.315757
Filename :
4109194
Link To Document :
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