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Aiming at the problems of low recognition rate and poor efficiency in traditional manual visual inspection of PCB apparent defects, an effective automatic recognition approach is proposed in this paper. The approach firstly obtains the apparent defect region image based on template matching defect detection algorithm. And then, the features of the apparent defect region image are extracted by combining the gray histogram features and the geometric features. Finally, this paper uses the optimized Support Vector Machine (SVM) classifier for automatic recognition and classification. The simulation results show that the method proposed for PCB's apparent defect in this paper can reach more than 96% recognition rate, which is an effective and feasible automatic recognition method.
Zhang et al. (Wed,) studied this question.