Rail turning identification method based on prediction weight

The invention belongs to the technical field of image recognition, and relates to a rail turning recognition method based on prediction weight. The method comprises the following steps that a camera device captures a front target image, acquires an ROI area, performs histogram equalization, performs edge detection by adopting Sobel transformation based on a multi-angle template, performs binaryzation by adopting a Bernsen algorithm based on median and Gaussian filter linear superposition, detects a straight line by adopting Hough transformation based on prediction weight, and performs edge detection by adopting a Bernsen algorithm based on Gaussian filter linear superposition. And counting the proportion of the straight line passing through the central point of the track. Compared with theprior art, the method has the advantages that the detection rate of the track curve is high, and the method is suitable for multi-track scenes. The front track can be recognized more effectively, a driver is reminded, the dr