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Forest fire is a kind of natural disasters with huge effect on the ecological environment of the earth. Flame color and brightness are two inherent features of the flame itself which are important static identifiable information. In order to identify the flame effectively and fight the forest fire in time the flame region may be identified based on these features in the RGB color space and HSV color space. The strengths and weaknesses of extracting the flame region with these two different color spaces are compared. At the same time because the value range of parameter H is discontinuous when converting the RGB color space to the HSV color space, the conversion formula is modified. Many experiments and tests indicate that this method is verified to be effective.