DocumentCode :
3169120
Title :
A scorch extraction method for the Campbell-Stokes sunshine recorder based on multivariable thresholding
Author :
Qiaoyun Fan ; Ying Zhang
Author_Institution :
Instrum. Sci. & Opto-Electron. Eng. Dept., Beihang Univ., Beijing, China
fYear :
2013
fDate :
22-23 Oct. 2013
Firstpage :
410
Lastpage :
414
Abstract :
The Campbell-Stokes sunshine recorder is an instrument which can measure the solar radiation by using the scorch on the recorder card. It is short for C-S. The weak scorch and the strong scorch represent different solar radiation. The weak scorch is so hard to extract that the radiation represented by the weak scorch always be neglected. The present methods reduce the accuracy of extraction, because these methods only extract the strong scorch and falsely treat the weak scorch as background. The RGB (red, green, blue) color image has more details of scorch than gray image, so a new method for scorch extraction based on the multivariable thresholding is proposed in this paper. The method segments the scorch with self-adaptive thresholds and optimizes the extraction with the amendatory coefficient, consequently, the robustness and accuracy of the algorithm is improved.
Keywords :
atmospheric techniques; sunlight; Campbell-Stokes sunshine recorder; RGB color image; gray image; multivariable thresholding; scorch extraction method; self-adaptive thresholds; solar radiation; Accuracy; Color; Image color analysis; Image edge detection; Image segmentation; Solar radiation; Vectors; The C-S sunshine recorder; multivariable thresholding; scorch extraction; self-adaptive thresholds;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Imaging Systems and Techniques (IST), 2013 IEEE International Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4673-5790-6
Type :
conf
DOI :
10.1109/IST.2013.6729732
Filename :
6729732
Link To Document :
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