In Chapter 5, Automated Optical Inspection, Object Segmentation, and Detection, we introduced the basic concepts of object segmentation and detection. This refers to isolating the objects that appear in an image for future processing and analysis. This chapter explains how to classify each of these isolated objects. To allow us to classify each object, we have to train our system to be capable of learning the required parameters so that it decide which specific label will be assigned to the detected object (depending on the different categories taken into account during the training phase).
This chapter introduces the basics concepts of machine learning to classify images with different labels. To do this, we are going to create a basic application based on the segmentation algorithm of Chapter 5, Automated Optical Inspection, Object Segmentation...