DocumentCode :
3278920
Title :
Application of an image processing software tool to crack inspection of crystalline silicon solar cells
Author :
Jean, Jong-Hann ; Chen, Chia-Hong ; Lin, Hsiu-li
Author_Institution :
Dept. of Electr. Eng., St. John´´s Univ., Taipei, Taiwan
Volume :
4
fYear :
2011
fDate :
10-13 July 2011
Firstpage :
1666
Lastpage :
1671
Abstract :
In this paper, we try to design and integrate an Automatic Optical Inspection System for inspection of polycrystalline silicon solar cells or modules, emphasizing on its image processing, measurement and analysis software utilities. Based on the cell intensity images captured by the electroluminescence imaging technique, we propose an inspecting procedure by using the Windows-based user interface to implement the average gray level tool, the thresholding tool, the positioning tool, the edge detection tool, the binary large object (BLOB) tool and the template matching tool. We use several sample images provided by the supplier to verify the software tool and receive accurate results.
Keywords :
crack detection; edge detection; electroluminescence; image sampling; power engineering computing; silicon; software tools; solar cells; user interfaces; Windows-based user interface; automatic optical inspection system; binary large object tool; cell intensity images; crystalline silicon solar cells; electroluminescence imaging technique; image processing; image processing software tool; template matching tool; Cameras; Computer architecture; Image edge detection; Inspection; Photovoltaic cells; Software; Software measurement; automatic optical inspection system; image processing tool; solar cell;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location :
Guilin
ISSN :
2160-133X
Print_ISBN :
978-1-4577-0305-8
Type :
conf
DOI :
10.1109/ICMLC.2011.6017015
Filename :
6017015
Link To Document :
بازگشت