Abstract：The characteristics of flame reflection areas on water surface are similar to those of flame, which are easy to be identified as flame areas during dividing flame areas in water surface flame detection.Especially when the flame brightness is high, the YCbCr space flame recognition model may misjudge areas with high flame brightness as nonflame areas. To solve the problems, a water surface flame recognition method was proposed.The convolutional neural network was used to determine the picture with or without flames. Combined with the YCbCr space model, the flame area was segmented according to the difference between the reflection and refraction of flame in the water and the brightness of flame area after reflection and refraction on the water surface. The test results show that the proposed water surface flame recognition method can determine the image with or without flame images and can effectively filter flame reflections and other areas to extract the flame area more accurately. The problem of YCbCr space model during recognizing the flame area can be solved when the flame brightness is high.
