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Proceedings Paper

Application of mathematical morphology in surface detection of infrared image for plume
Author(s): Bo Qiang; Ya-Nan Hu; Hong-Hai Liu; Xiang Cheng Zhang
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Paper Abstract

This paper presents a method for surface detection of Infrared Image for plume. First of all, the binarization of Infrared Image is achieved by Min-Max Method, then edge detection operator is constructed based on Multi-scale and Multi-form morphological structural element of mathematical morphology, to detect the edge of Engine’s plume of Infrared Image. Results showed that our method has better capability in depressing the noise interference comparatively to the traditional edge detection operator, and meet the real-time requirement.

Paper Details

Date Published: 19 July 2013
PDF: 5 pages
Proc. SPIE 8878, Fifth International Conference on Digital Image Processing (ICDIP 2013), 88782X (19 July 2013); doi: 10.1117/12.2030762
Show Author Affiliations
Bo Qiang, TaiYuan Satellite Launch Ctr. (China)
Ya-Nan Hu, Taiyuan Satellite Launch Ctr. (China)
Hong-Hai Liu, Taiyuan Satellite Launch Ctr. (China)
Xiang Cheng Zhang, Taiyuan Satellite Launch Ctr. (China)

Published in SPIE Proceedings Vol. 8878:
Fifth International Conference on Digital Image Processing (ICDIP 2013)
Yulin Wang; Xie Yi, Editor(s)

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