Title :
Components Locating in PCB Fault Diagnosis Based on Infrared Thermal Imaging
Author :
Xu, Jun ; Li, Jianliang ; Jiang, Yong
Author_Institution :
Dept. of Inf. & Comput. Sci., Nanjing Univ. of Sci. & Technol., Nanjing, China
Abstract :
The paper studied a statistical correlation based algorithm in components location in Printed Circuit Board (PCB) fault diagnosis. As integration and micromation complexity increases, interaction between thermal sources and thermal image drift of circuit components bring new difficulties into the applications. Itpsilas pointed that feature points algorithm is a feasible method in inconsistency registration. The results indicated that thermal image drift can be effectively reduced and lots of computation load are saved.
Keywords :
fault diagnosis; infrared imaging; printed circuits; circuit components; fault diagnosis; infrared thermal imaging; integration complexity; micromation complexity; printed circuit board; thermal image drift; thermal sources; Circuit testing; Fault diagnosis; Image databases; Image registration; Infrared imaging; Optical computing; Optical imaging; Pixel; Spatial databases; Temperature; PCB fault diagnosis; feature point; infrared; thermal imaing;
Conference_Titel :
Information and Computing Science, 2009. ICIC '09. Second International Conference on
Conference_Location :
Manchester
Print_ISBN :
978-0-7695-3634-7
DOI :
10.1109/ICIC.2009.109
