A Method of Frost Observation Based on Intensity Changing Regularity Simulation and Texture Analysis

摘要

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.