BGA solder joint air bubbles under the background of interference threshold segmentation method

Di Xia; YanFeng Tang; YaFang Bai; Peng Wang; WenJie Yan; Che Liu; Chen Wang

doi:10.1117/12.2641423

4 August 2022 BGA solder joint air bubbles under the background of interference threshold segmentation method

Di Xia, YanFeng Tang, YaFang Bai, Peng Wang, WenJie Yan, Che Liu, Chen Wang

Proceedings Volume 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022); 123061Y (2022) https://doi.org/10.1117/12.2641423
Event: Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 2022, Changchun, China

Abstract

The use of X-Ray rays to detect BGA solder joint bubbles and accurately segment the bubble area has always been a hot topic of research. In this paper, a dynamic enhancement algorithm is used to preprocess the background interference image to reduce the interference of complex background on the bubble segmentation result. The bubble is segmented by the threshold segmentation algorithm, and the segmentation accuracy of the enhanced data graph is about 23.6% higher than that of the original graph, and the area of the mis-segmented area is reduced by about 18.2%, and the segmentation accuracy is increased by 11%. It can be proved that the algorithm has better adaptability and segmentation accuracy in the context of interference.

Citation Download Citation

Di Xia, YanFeng Tang, YaFang Bai, Peng Wang, WenJie Yan, Che Liu, and Chen Wang "BGA solder joint air bubbles under the background of interference threshold segmentation method", Proc. SPIE 12306, Second International Conference on Digital Signal and Computer Communications (DSCC 2022), 123061Y (4 August 2022); https://doi.org/10.1117/12.2641423

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