Wuhan University Journal of Natural Sciences

, Volume 22, Issue 5, pp 380–386 | Cite as

Mosaic of printed circuit board image based on Gaussian-Hermite moment invariants



Quality inspection of a PCB (Printed Circuit Board) always requires us to stitch some separated images into an integral one. However, during image acquisition, some environmental influences such as vibration, noise and illumination will cause image degradation. An efficient image mosaic method has been urgently required to obtain a high-quality PCB panorama. Hence, an image mosaic method based on Gaussian-Hermite moments is presented in this paper. The characteristic points in the neighborhood of a PCB are represented by Gaussian-Hermite moment invariants. They are characterized by independence to translation or rotation transformations. Meanwhile, such feature representation shows better noise robustness. Experimental results show that the proposed method produces a qualified mosaic of PCB image.

Key words

image processing template matching Gaussian- Hermite moment invariants image mosaic 

CLC number

TP 391 


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Copyright information

© Wuhan University and Springer-Verlag GmbH Germany 2017

Authors and Affiliations

  1. 1.College of Physics and Electronics EngineeringXianyang Normal CollegeXianyang, ShaanxiChina
  2. 2.School of AutomationNorthwestern Polytechnical UniversityXi’an, ShaanxiChina

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