Segmentation of infrared image using adaptive thresholding

Qianqian Wang; Jinghai Liu; Youna Lin

doi:10.1117/12.481568

30 August 2002 Segmentation of infrared image using adaptive thresholding

Qianqian Wang, Jinghai Liu, Youna Lin

Proceedings Volume 4925, Electronic Imaging and Multimedia Technology III; (2002) https://doi.org/10.1117/12.481568
Event: Photonics Asia, 2002, Shanghai, China

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.

Citation Download Citation

Qianqian Wang, Jinghai Liu, and Youna Lin "Segmentation of infrared image using adaptive thresholding", Proc. SPIE 4925, Electronic Imaging and Multimedia Technology III, (30 August 2002); https://doi.org/10.1117/12.481568

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