Fig. 1

Process of data learning in the BOF framework. a Input the images of the dataset into the model; b extract local features from the images by SIFT algorithm; c cluster the extracted features and use the center of each cluster as a codeword; and d represent each image by a feature histogram that shows the occurrence frequency of the extracted features. The recognition model learns the histogram of all images. Scale bars 200 μm