An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images
Because decisions made by human inspectors often involve subjective judgment, in addition to being intensive and therefore costly, an automated approach for printed circuit board (PCB) inspection is preferred to eliminate subjective discrimination and thus provide fast, quantitative, and dimensional...
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| Main Authors: | , , , , , , |
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| Format: | Article |
| Published: |
2012
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| Subjects: | |
| Online Access: | http://eprints.utm.my/id/eprint/46590/ |
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| Institution: | Universiti Teknologi Malaysia |