Digital image processing, a core tool of machine vision technology, extracts actionable insights from physical images. It enables non-invasive, minimally supervised image-based decision-making. A digital image represents a scene as a two-dimensional matrix, where each pixel (picture element) encodes object brightness. Thus, digital image processing involves applying algorithms to this matrix to extract scene information.