基于红热图像测温技术的图像二维无网格消噪方法

doi:10.3969/j.issn.1000-1158.2015.04.10

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Abstract The temperature measurement process of infrared thermal image has a large amount of noise, which has seriously hampered the precision and accuracy of infrared thermal image. In order to accurately detect the correlative parameters of the measured object in the infrared thermal image, a 2D meshless denosing method based on infrared thermal images is proposed. Bilateral filtering, anisotropic denoising, meshless denoising are combined to create a 2D meshless denoising model. The model parameters are estimated by using robust regression algorithm, and realize infrared thermal images with meshless denoising. And it enhances the temperature measurement precision of infrared thermal image. Finally, the feasibility of the proposed method is verified by simulation experiments and the method lays the theoretical foundation for military, scientific research and other areas of temperature measurement of infrared thermal image.

Key words： Metrology Infrared thermal image Robust regression algorithm Bilateral filtering Anisotropic denoising Meshless denoisin

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	Articles by authors
	ZHANG Yu-cun
	HOU Xin-yu
	LIN Hong-bin

Cite this article:

ZHANG Yu-cun,HOU Xin-yu,LIN Hong-bin. 2D Meshless De-noising Method of Images Based on the Thermal Infrared Image Temperature Measurement Technology[J]. Acta Metrologica Sinica, 2015, 36(4): 379-383.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2015.04.10 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2015/V36/I4/379

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