Questions Forum

Hi, in the Texture lecture, in slides 11 & 12, what exactly is "Run a classification algorithm to assign a texture value to each pixel" and "Train a classifier to assign a probability to be
within a mitochondria"? I do not understand how the classifiers are trained and used here. Can you give some detailed explanations? Thanks!