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Proceedings Paper

The research of infrared image segmentation based on mathematical morphology
Author(s): Yicheng Wang; Songfeng Yin; Xiaodi Wu
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Paper Abstract

This paper describes a new method for infrared image segmentation based on mathematical morphology. The proposed algorithm relies on four steps: First, to reduce the influence of asymmetrical background, top-hat transform was used, and gradient image was obtained by morphological gradient transform. Second, gradient image was reconstructed by reconstruction operator, which was constituted by doing opening by reconstruction operation and closing by reconstruction operation successively. Through gradient image reconstruction, important region contours are preserved while most tiny regular details and noises are removed. Finally, auto threshold technique was used to extract the region edges form reconstructed gradient image. Experimental results show that the approach performs well in target segmentation in infrared images with complicated background.

Paper Details

Date Published: 8 September 2011
PDF: 8 pages
Proc. SPIE 8193, International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications, 81933M (8 September 2011); doi: 10.1117/12.900822
Show Author Affiliations
Yicheng Wang, Electronic Engineering Institute (China)
Songfeng Yin, Electronic Engineering Institute (China)
Tsinghua Univ. (China)
Xiaodi Wu, Electronic Engineering Institute (China)


Published in SPIE Proceedings Vol. 8193:
International Symposium on Photoelectronic Detection and Imaging 2011: Advances in Infrared Imaging and Applications
Jeffery J. Puschell; Junhao Chu; Haimei Gong; Jin Lu, Editor(s)

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