Image preprocessing is a fundamental pre-processing step in computer vision and image processing. It uses a series of algorithms to perform operations such as denoising, enhancement, and normalization on raw images, eliminates interference information in images, improves the recognition of effective features, and provides high-quality input data for subsequent tasks like object detection, image segmentation, and model training.
