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Proceedings Paper

Segmentation of infrared image using adaptive thresholding
Author(s): Qianqian Wang; Jinghai Liu; Youna Lin
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Paper Abstract

A novel adaptive method of automatic threshold selection is proposed for image segmentation in this paper. An optimal threshold is selected by the discriminant criterion acquired from the gray-level statistic of the resultant target and background region. The theoretical analysis shows that correct image segmentation can be obtained for a low-contrast image with complex background using this method, no matter the proportion of the target is small or big. Moreover, the computing quantity and the processing time can be decreased greatly by setting the gray level selection region. Several experimental results are also presented to support the validity ofthis method.

Paper Details

Date Published: 30 August 2002
PDF: 5 pages
Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); doi: 10.1117/12.481568
Show Author Affiliations
Qianqian Wang, Beijing Institute of Technology (China)
Jinghai Liu, Beijing Institute of Technology (China)
Youna Lin, Beijing Institute of Technology (China)


Published in SPIE Proceedings Vol. 4925:
Electronic Imaging and Multimedia Technology III
LiWei Zhou; Chung-Sheng Li; Yoshiji Suzuki, Editor(s)

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