Road Recognition Based on Bayesian Methods

Article Abstract: Based on Bayesian methods,which can recognize road quickly and perfectly,the article proposes a road detection method.The bitmap image is divided into roads,sky,and trees with the use of color information;and the RGB values of each pixel are extracted in accordance with the training set image.Then the value of gray scale and saturation are calculated with the formula,and then the Bayes dicriminant function parameters are calculated with the image on the pixels as the entire sample,the gray scale and saturation as the feature space.For the test set,features are extracted first,then bitmap images aredistinguished with the above discriminant function,and finally the road is marked out.Experiments show that thesoftware can do very well in the detection and location of brick roads,and at the same time it has good fault-tolerance and robustness.