Single Image Region Algorithm Based on Deep Network

This paper designed an image region feature extraction and recognition algorithm based on deep neural network model based on deep network as for the problem that it is hard to extract and recognize the eigenvalue in image region, aiming at accurately extracting image eigenvalue while reducing the consumption of time. Through the experimental test of data set, the rationality and feasibility of the algorithm are confirmed, which can effectively reduce the time consumption and improve the accuracy of image processing.