The Quality Detection of Surface Defect in Dispensing Dack-End Based on HALCON

This paper proposes a quality detection method of LED surface defects in dispensing back-end based on computer vision library HALCON. The key steps mainly include image preprocessing, image matching and defect detection, etc. Firstly, to choose the matching area automatically according to the regional characteristics of the LED chip. Secondly, image matching with standard template. Finally, complete defect detection using the improved matching algorithm. The method can select matching area automatically from the collection of image with CMOS. It can complete image matching quickly and accurately, and detect the defect effectively.

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