The Computer Vision applications with machine learning have a common basic structure. This structure is divided into different steps that are repeated in almost all Computer Vision applications, and some others are omitted. In the following diagram, we show you the different steps involved:
Almost any Computer Vision application starts with a preprocessing stage that is applied to the input image. Preprocessing involves light removal conditions and noise, thresholding, blur, and so on.
After we apply all the preprocessing steps required to the input image, the second step is segmentation. In the segmentation step, we need to extract the regions of interest of an image and isolate each one as a unique object of interest. For example, in a face detection system, we need to separate the faces from the rest of the parts in the scene.
After getting the objects inside the image, we continue with the next step. We need to extract all the features of...