A Method of Frost Observation Based on Intensity Changing Regularity Simulation and Texture Analysis
Frost is a kind of ground coagulation phenomena, and if the temperature of dew point is below 0 C, 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.
frost observation meteorological observation image processing regularity simulation gray correlation texture analysis
Lei Zhu Zhiguo Cao Wen Zhuo Ruicheng Yan
National Key Lab of Sci. & Tech. on Multispectral Information Processing, Inst. for Pattern Recognit National Key Lab of Sci. & Tech. on Multispectral Information Processing, Inst. for Pattern Recognit
国际会议
桂林
英文
1-8
2011-11-01（万方平台首次上网日期，不代表论文的发表时间）