DocumentCode
497251
Title
Filtering and Temperature Correction Algorithms for Smog Interference in Temperature Measurement Based on CCD Image Sensor
Author
Xiaoqi Peng ; Yuan Sun
Author_Institution
Hunan First Normal Univ., Changsha, China
Volume
1
fYear
2009
fDate
11-12 April 2009
Firstpage
24
Lastpage
27
Abstract
The visible radiation would be absorbed and scattered by the smog diffusing around the radiator and on the path of the radiation, which distorts the results of temperature measurement by two-color thermometry based on CCD image sensor. In this paper, an approach for filtering smog interference of high-temperature radiator and correcting temperature is proposed. Firstly, by the image target recognition method based on color information of radiator, the smog noises around a high-temperature radiator are eliminated. And then, the region interfered by smog is segmented. Finally, the temperature of the region calculated by the two-color thermometry formula is corrected using the nonlinear correction function. The experimental results show that the method can effectively reduce the influence in measurement results by smog interference and increase the accuracy and practicability in temperature measurement based on CCD.
Keywords
CCD image sensors; image recognition; temperature measurement; CCD image sensor; digital image process; image target recognition method; smog interference; soft sensor; temperature correction algorithms; temperature measurement; two-color thermometry; visible radiation; Charge-coupled image sensors; Colored noise; Filtering algorithms; Image segmentation; Interference; Nonlinear distortion; Scattering; Target recognition; Temperature measurement; Temperature sensors; CCD image sensor; Digital image process; Two-color thermometry; soft sensor;
fLanguage
English
Publisher
ieee
Conference_Titel
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location
Zhangjiajie, Hunan
Print_ISBN
978-0-7695-3583-8
Type
conf
DOI
10.1109/ICMTMA.2009.136
Filename
5202904
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