In order to improve single label classification problem based on the bag of words model and SVM classification of a graph corresponding to a label

put forward an image annotation algorithm

which bases on superpixel bag of words model and SVM classification. The algorithm uses super-pixel segmentation results as basic unit of bag of words model

super-pixel regional characteristics expressed by visual words generated by bag of words model

keeps homogeneous area in image

take well use of regional characteristics of image. Simulation results show that the algorithm can effectively improve the single label classification problem based on bag of words model and SVM classification

and classification accuracy improved.