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
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;
Conference_Titel :
Advanced Intelligent Mechatronics, 2001. Proceedings. 2001 IEEE/ASME International Conference on
Conference_Location :
Como
Print_ISBN :
0-7803-6736-7
DOI :
10.1109/AIM.2001.936511
