Browsing Ismail Ibrahim by Subject "Defect classification"
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An improved defect classification algorithm for six printing defects and its implementation on real printed circuit board images
(ICIC International, 2012-05)Because decisions made by human inspectors often involve subjective judg- ment, in addition to being intensive and therefore costly, an automated approach for printed circuit board (PCB) inspection is preferred to eliminate ...