Image classification method and device

The invention discloses an image classification method and device, and belongs to the field of image processing, and the method comprises the steps: carrying out the processing of a to-be-classified image, and obtaining an image with the background interference degree smaller than or equal to a preset value; Extracting image features of the image with the background interference degree smaller than or equal to a preset value; And according to the image features and a classification model, determining the category of the image with the background interference degree smaller than or equal to a preset value. Based on the method, before classifying the to-be-classified image, the to-be-classified image is processed to obtain the image with the background interference degree smaller than or equal to the preset value for subsequent processing. Therefore, the interference of the background information on the image is reduced, the recognition accuracy of the image is improved, meanwhile, repeated training for images