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The automated inspection of lace using machine vision

  • Published:1995-03 Issue:2-3 Volume:5 Page:215-231
  • ISSN:0957-4158
  • Container-title:Mechatronics
  • language:en
  • Short-container-title:Mechatronics

Author:

Sanby C.,Norton-Wayne L.,Harwood R.

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Science Applications,Mechanical Engineering,Control and Systems Engineering

Reference6 articles.

1. Inspection of lace using machine vision;Norton-Wayne;Comput. Graph. Forum,1991

2. The detection of defects in automated visual inspection;Norton-Wayne,1982

3. Machine vision for the automated inspection of web materials;Norton-Wayne,1993

4. Information representation in back propagation classifier networks;Michaels,1990

5. The effect of initial weights on premature saturation in back propagation learning;Lee,1991

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2. An Advanced System for Automatically Segregating Bolts using Thread Detection and Dot Matrix Marking.;2023 4th IEEE Global Conference for Advancement in Technology (GCAT);2023-10-06

3. Research on lace defect detection based on fingerprint identification method of detail feature points extraction and matching;2021 China Automation Congress (CAC);2021-10-22

4. Learning-based defect recognition for quasi-periodic HRSTEM images;Micron;2021-07

5. An automatic chip structure optical inspection system for electronic components;2017 International Conference on Optical Instruments and Technology: Optical Systems and Modern Optoelectronic Instruments;2018-01-10
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