Pattern Recognition for Micro Workpieces Manufacturing

被引：0

作者：

Baidyk, Tatiana ^{[1
]}

Kussul, Ernst ^{[1
]}

Makeyev, Oleksandr ^{[2
]}

Velasco, Graciela ^{[1
]}

机构：

[1] Natl Autonomous Univ Mexico UNAM, Ctr Appl Sci & Technol Dev, Mexico City, DF, Mexico

[2] Clarkson Univ, Dept Elect & Comp Engn, Potsdam, NY 13676 USA

来源：

COMPUTACION Y SISTEMAS | 2009年 / 13卷 / 01期

关键词：

Computer vision; neural network; shape recognition; texture recognition; micromechanics;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Two neural classifiers were developed for image recognition: PCNC (Permutation Coding Neural Classifier) and LIRA (Limited Receptive Area) neural classifiers. These neural classifiers are multipurpose neural classifiers. We applied them in micromechanics. Information about shape and texture of the micro workpiece can be used to improve precision of both assembly and manufacturing processes. The proposed neural classifiers were tested offline in the both tasks.

引用

页码：61 / 74

页数：14

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