We develop an intelligent diagnosis system for defect inspection of solder bumps.
The SAM image is segmented based on the gray gradient of the original image.
The SVM algorithm with fuzzy memberships is investigated.
The F-SVM is used to solve the solder bumps classification and recognition.
The results prove the effectiveness of the intelligent diagnosis system.