An integrated robotic and machine vision system for surface flaw detection and classification-Reference-Cited by-同舟云学术

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An integrated robotic and machine vision system for surface flaw detection and classification

Published:1996-01 Issue:1 Volume:30 Page:27-40
ISSN:0360-8352
Container-title:Computers & Industrial Engineering
language:en
Short-container-title:Computers & Industrial Engineering

Author:

Raafat Hazem,Taboun Salem

Publisher

Elsevier BV

Subject

General Engineering,General Computer Science

Reference22 articles.

1. Computer vision for quality-control in automated manufacturing systems;Asoudegi;Computers Ind. Engng,1991

2. Quantitative automated inspection of standard parts using machine vision;Asoudegi;Computers Ind. Engng,1992

3. A simplified vision system and robotic assembly and manufacturing applications;Cowling,1990

4. The practical application of grayscale morphology to the inspection of surfaces;Schmitt,1990

5. Visual inspection of metal surfaces;Porter,1980

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1. Surface Defect Detection Based on Scattering Field Distribution Fitting Approximation;LASER OPTOELECTRON P;2021

2. Surface Defect Detection of Optical Components Based on Sparse Matrix;CHIN J LASERS;2019

3. Vision-Based Surface Inspection System for Bearing Rollers Using Convolutional Neural Networks;Applied Sciences;2018-12-11

4. Appendix I: Information Sources;Machine Vision Handbook;2012

5. A computer vision system for wineglass defect inspection via Gabor-filter-based texture features;Information Sciences;2000-08

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