By Topic

PCB infrared thermal imaging diagnosis using support vector classifier

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
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: