Vehicle image recognition based on DDAG SVM

This paper studies a vehicle image recognition based on DDAG SVM.Firstly,image pixel subtraction theory is adopted to extract vehicle.Secondly,it uses average filter to remove noise.Thirdly,threshold is segmented by using the "watershed" changes to get a two-image car.At last,the feature vectors of the object is extracted and a DDAG SVM is trained to classify vehicle,in order to realize the classification of vehicle type.