Image background segmentation and recognition method based on convolution neural network

The invention discloses an image background segmentation and recognition method based on a convolution neural network. The method uses the convolution neural network to learn a sample image, trains toobtain a background segmentation model and a recognition classification model, and then performs background segmentation and recognition classification of the image according to the model. When the convolution neural network is applied to the image recognition and classification, the invention combines the influence of the image background on the recognition and classification, and the backgroundsegmentation model converts the whole connection layer of the convolution neural network into the convolution layer. The invention improves the effect of image optimization segmentation, and makes the image background segmentation model have wide applicability. Finally, after the image background segmentation is realized by using the convolution neural network model, the image is reused for imagerecognition and classifica