A method of text event detection and image enhancement based on aerial video

In order to extract numbers from an aerial video, an improved algorithm of the text event detection is presented in this paper. This method intercepts key frames using the way of comparison between frame difference and the dynamic threshold. In this way, it can avoid unnecessary trouble made by dealing with the video frame by frame. Results show that this method can save much computing time as well as improve operating efficiency. Besides, a new method of de-noising for binary image is proposed during image preprocessing. For the sum of the column pixel of noise is much less than the concerned area, we can successfully remove the noise pixel and pave the way for the future steps such as character division or number recognition. As the results shown, this method is especially suitable for processing poor quality images.