DocumentCode
1748163
Title
Application of flat image recognition technique for automation of micro device production
Author
Baidyk, Tatyana N.
Author_Institution
Centro de Instrumentos, Univ. Nacional Autonoma de Mexico, Mexico City, Mexico
Volume
1
fYear
2001
fDate
2001
Firstpage
488
Abstract
The main idea of the suggested method is to use machine vision systems for micro devices production. It is proposed to reduce the three-dimensional machine vision tasks to two-dimensional (flat) tasks of optical recognition. Contour processing algorithms (for example, thinning, thickening etc.) are developed and neural classifiers are used to solve the recognition tasks
Keywords
computer vision; feature extraction; image recognition; manufacturing processes; microassembling; micromechanical devices; multilayer perceptrons; pattern classification; contour processing algorithms; flat image recognition technique; flat tasks; machine vision systems; micro device production; neural classifiers; optical recognition; recognition tasks; thickening; thinning; three-dimensional tasks; two-dimensional tasks; Assembly; Automation; Image recognition; Instruments; Layout; Lithography; Machine tools; Machine vision; Production facilities; Shape;
fLanguage
English
Publisher
ieee
Conference_Titel
Advanced Intelligent Mechatronics, 2001. Proceedings. 2001 IEEE/ASME International Conference on
Conference_Location
Como
Print_ISBN
0-7803-6736-7
Type
conf
DOI
10.1109/AIM.2001.936511
Filename
936511
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