Correlativity analysis between image gray value and temperature based on infrared target
-
摘要: 通过图像灰度与温度的相关性,可以精确地得到一些领域上难以被测量到的温度。提出了基于红外靶标的图像灰度与温度的相关性分析。以自行研制的红外靶标为研究对象, 采集带有圆形目标孔的红外靶标在不同温度(60~110℃)下的红外图像, 再利用Matlab提取不同温度下特定区域的红外图像灰度值,从而确定红外靶标图像灰度与其温度的相关性,得其相关系数为0.962。实验结果表明:红外靶标图像中AOI(area of interest)的平均灰度与温度存在明显的相关性, 当红外靶标的温度发生变化时, 其红外图像灰度也随之发生变化,且两者呈良好的线性关系。基于红外靶标的图像灰度与温度的相关性在造纸厂草料自燃研究、医疗安全、道路施工等方面都有着较好的应用。Abstract: By using the correlativity between image gray value and temperature, the temperature that is hard to measure can be accurately obtained in some fields. The correlativity analysis between image gray value and temperature was proposed based on infrared target(IT). Self-developing infrared target was taken as a research object, which was a method to collect the infrared images which were taken at different temperatures (60-110℃) by infrared target with circular apertures. Matlab was used to extract the infrared image gray values (IIGV) of certain regions at different temperatures, which could ensure the correlativity between infrared target image gray value(ITIGV) and its temperature. The correlation coefficient of 0.962 was obtained. Experimental results reveal a good linear correlation between the average gray value of area of interest (AOI) in the infrared target images and temperature. With the change of infrared target temperature, infrared image gray values has changed. Both of them show a good linear correlation. The correlativity between image gray value and temperature based on infrared target has an outstanding effect on straw self-ignition in paper mill, medical security, road construction, etc.
-
[1] Cai Yi, Hu Xu. State of theart and future trend of detectors for infrared imaging seekers[J]. Infrared and Laser Engineering, 2006, 35(1):7-11. (in Chinese) [2] Luo Yuan, Wu Caiming, Zhang Yi. Facial expression feature extraction using hybrid PCA and LBP[J]. The Journal of China Universities of Posts and Telecommunications, 2013, 20(2):120-124. (in Chinese) [3] Yu Bo. The current difficulties and countermeasures facing the fire supervision and management work[J]. Science and Technology to Guide, 2010(7):138-139. [4] Ren Xinying, Wu Shuicai, Du Xu, et al. The study on the relativity of B mode ultrasound image gray and temperature in tissue[J]. Beijing Biomedical Engineering, 2004, 23(2):116-118. (in Chinese) [5] Sui Xianghui. The prediction and application of asphalt pavement temperature field[D]. Xi'an:Chang'an University, 2007. (in Chinese) [6] Wu Xiaoyan. Analysis of reed yard fire safety status and fire prevention measures[J]. China Foreign, 2008(10):234-235. (in Chinese) [7] Huang Yani, Zhong Jianjun. An analysis on induced factors and prevention measyres of fire accidents in reed yard for a paper mill[J]. Journal of Chinese People's Armed Police Force Academy, 2014, 30(10):59-61. (in Chinese) [8] Zhang Yunlong. Monitoring and promote techniques of construction quality for asphalt pavement[D]. Chongqing:Chongqing Jiaotong University, 2014. (in Chinese) [9] Wang Huawei. Research on the key technologies of temperature field measurement based on thermal infrared imager[D]. Beijing:China University of Chinese Academy of Sciences, 2013. (in Chinese) [10] Xu Wei, Liu Li. Design and application of quantificational IR drone[J]. Electro-Optic Technology Application, 2004, 19(3):21-24. (in Chinese) [11] Lu Hengjian. The research of field infrared target temperature control technology[D]. Xi'an:Xi'an Technological University, 2014. (in Chinese) [12] Joon Hwang. Optimal design and manufacturing of infrared surveillance camera mirror[C]//20105th IEEE International Conference on Nano/Micro Engineered and Molecular Systems(MEMS) 2010:869-871. [13] Cremer Frank. Processing of polarimetric infrared images for landmine detection[C]//2nd International Workshop on Advanced Ground Penetrating Radar, 2003:216-221. [14] Li Haoguan, Zhu Linghao. The comprehensive utilization of coal tar pitch[J]. Chemial Technology Market, 2000, 8:8-10. (in Chinese) [15] Liu Kai. Study on asphalt pavement temperature field distribution pattern[D]. Xi'an:China Chang'an University,2010. (in Chinese)
计量
- 文章访问数: 554
- HTML全文浏览量: 40
- PDF下载量: 208
- 被引次数: 0