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PCB infrared thermal imaging diagnosis using support vector classifier

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2 Author(s)
Wan Jiuqing ; Sch. of Autom. Sci. & Electr. Eng., Beijing Univ. of Aeronaut. & Astronaut., China ; Li Xingshan

A printed circuit board (PCB) diagnosis system based on infrared thermal imaging is described. Multi-scale edge detection and nonlinear regression methods are used for heat source recognition and thermal feature extraction respectively. Thermal pattern recognition is implemented by support vector classifier instead of traditional back-propagation feed-forward network classifier and a good experimental result has been achieved.

Published in:

Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on  (Volume:4 )

Date of Conference:

2002