MIL X includes Classification tools for automatically categorizing image content or previously extracted features using machine learning.
Image-oriented classification makes use of deep learning—specifically convolutional neural network (CNN)—technology in two distinct approaches. The global approach assigns images or image regions to pre-established classes. Results for each image or image region consist of the most likely class and a score for each class. The coarse segmentation4 approach generates maps indicating the pre-established class and score for all image neighborhoods. Image-oriented classification is particularly well-suited for inspecting images of highly textured, naturally varying, and acceptably deformed goods.