Automatic extraction of via in the CT image of PCB

Xifeng Liu; Yuwei Hu

doi:10.1117/12.2302473

10 April 2018 Automatic extraction of via in the CT image of PCB

Xifeng Liu, Yuwei Hu

Proceedings Volume 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017); 106154J (2018) https://doi.org/10.1117/12.2302473
Event: Ninth International Conference on Graphic and Image Processing, 2017, Qingdao, China

Abstract

In modern industry, the nondestructive testing of printed circuit board (PCB) can prevent effectively the system failure and is becoming more and more important. In order to detect the via in the PCB base on the CT image automatically，accurately and reliably, a novel algorithm for via extraction based on weighting stack combining the morphologic character of via is designed. Every slice data in the vertical direction of the PCB is superimposed to enhanced vias target. The OTSU algorithm is used to segment the slice image. OTSU algorithm of thresholding gray level images is efficient for separating an image into two classes where two types of fairly distinct classes exist in the image. Randomized Hough Transform was used to locate the region of via in the segmented binary image. Then the 3D reconstruction of via based on sequence slice images was done by volume rendering. The accuracy of via positioning and detecting from a CT images of PCB was demonstrated by proposed algorithm. It was found that the method is good in veracity and stability for detecting of via in three dimensional.

Citation Download Citation

Xifeng Liu and Yuwei Hu "Automatic extraction of via in the CT image of PCB", Proc. SPIE 10615, Ninth International Conference on Graphic and Image Processing (ICGIP 2017), 106154J (10 April 2018); https://doi.org/10.1117/12.2302473

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