Computer vision functions in image processing by enabling machines to interpret and understand visual data from the world. It involves various techniques, including image recognition, image segmentation, and feature extraction. Computer vision systems utilize algorithms and neural networks to analyze pixel data, classify images, and identify patterns or objects within images. Applications range from facial recognition to autonomous vehicles, showcasing the technology's ability to automate and enhance visual perception. Ultimately, computer vision aims to mimic the human visual system for various practical purposes.