machin inspection for pcb defects using computer vision and classifing it using neuralnetworks
This project was a final project at Damascus university 2012.
1- run pcb_inspection.m
2- load the 3 LVQ networks
3- load the image or use the camera to snapshot it
4- use threshold slider to convert the image into binary or use default threshold
5- chose how you want to process the image :
#as reference for the standarded templet of the circuit
#as tested for the under test PCBs
#as training to let our system learn from new defects
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