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2 December 2011 A method of frost observation based on intensity changing regularity simulation and texture analysis
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Proceedings Volume 8004, MIPPR 2011: Pattern Recognition and Computer Vision; 80040O (2011) https://doi.org/10.1117/12.901785
Event: Seventh International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2011), 2011, Guilin, China
Abstract
Frost is a kind of ground coagulation phenomena, and if the temperature of dew point is below 0Co , the water vapor condenses as solid, which is called frost. The frost phenomena observing is an important step in daily ground observation work, and the results is one of 36 critical data in meteorological observation field. This work is usually accomplished by manual. In this paper, we propose an effective method for frost observation based on image processing. The changing of frost formation process is well simulated by using the curve fitting of gray correlation coefficient between certain lengths of frames, while the characteristic of frost surface texture is also well described by texture analysis based on texture descriptor. The experiment results show that our method can get high detection accuracy in the different kinds of continuous changing environment.
© (2011) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Lei Zhu, Zhiguo Cao, Wen Zhuo, and Ruicheng Yan "A method of frost observation based on intensity changing regularity simulation and texture analysis", Proc. SPIE 8004, MIPPR 2011: Pattern Recognition and Computer Vision, 80040O (2 December 2011); https://doi.org/10.1117/12.901785
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