A substation infrared temperature monitoring and warning system with object separation and image registration

Lihua Lin; Dongmei Wu; Xinghua Zhang

doi:10.1117/12.866948

20 August 2010 A substation infrared temperature monitoring and warning system with object separation and image registration

Lihua Lin, Dongmei Wu, Xinghua Zhang

Author Affiliations +

Proceedings Volume 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering; 78202B (2010) https://doi.org/10.1117/12.866948
Event: International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 2010, Xi'an, China

Abstract

To find the defects of the apparatus in a substation in the early stage, an infrared temperature monitoring and warning system is established. This system can monitor the electrical equipment automatically the movement condition. The systemic circulation gathers the transformer substation electrical equipment the infrared imagery, the extraction goal equipment temperature information, and with the history database creation connection, the synthesis distinguishes the equipment failure information. In view of image gathering when because the mechanical drive creates the deviation, proposed one kind of object-oriented division and the image matching adjustment algorithm, first carries on the object division and the configuration definition to the image, then uses based on the phase correlation carries on the matching with the Harris vertex match image matching method to the deviation image. In this paper, a infrared remote-viewing image registration based on phase correlation and feature points matching is presented. Several experiments illustrate that this method has a good performance of reliability and accuracy.

Citation Download Citation

Lihua Lin, Dongmei Wu, and Xinghua Zhang "A substation infrared temperature monitoring and warning system with object separation and image registration", Proc. SPIE 7820, International Conference on Image Processing and Pattern Recognition in Industrial Engineering, 78202B (20 August 2010); https://doi.org/10.1117/12.866948

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