基于红外热图像的沥青路面温度离析区域检测方法

doi:10.3969/j.issn.1000-1158.2017.01.05

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Abstract A temperature segregation area of asphalt pavement detection method based on infrared thermal images is proposed. The asphalt pavement temperature in the infrared thermal image and the improved gray image edge segmentation model are combined to create a temperature segregation area of asphalt pavement detection model. The model parameters are solved by using duality method. BP neural network optimization and the least squares fitting are combined to establish the relationship between the asphalt pavement temperature of the infrared thermal image and gray in the model, and detect the temperature segregation areas of the asphalt pavement. Finally, the feasibility of the proposed method is verified by simulation experiments and the method lays the theoretical foundation for engineering construction of roads, scientific research and other areas of infrared thermal image processing.

Key words： metrology infrared thermal image temperature segregation edge segmentation least squares fitting BP neural network optimization duality method

Received: 09 April 2015 Published: 28 December 2016

PACS:

TB942

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	ZHANG Yu-cun
	HOU Xin-yu

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ZHANG Yu-cun,HOU Xin-yu. The Temperature Segregation Area of Asphalt Pavement Detection Method Based on Infrared Thermal Images[J]. Acta Metrologica Sinica, 2017, 38(1): 23-27.

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http://jlxb.china-csm.org:81/Jwk_jlxb/EN/10.3969/j.issn.1000-1158.2017.01.05 OR http://jlxb.china-csm.org:81/Jwk_jlxb/EN/Y2017/V38/I1/23