Image Pre-processing

Image pre-processing is a set of techniques employed to enhance the quality and extract relevant information from digital images before they are further analyzed and processed by computer vision or machine learning algorithms. It involves a series of operations that aim to correct, filter, normalize, or enhance the images in order to improve their suitability for subsequent analysis.

These pre-processing steps include various operations such as noise reduction, which reduces unwanted artifacts or random variations in the image; image resizing, which adjusts the image dimensions to meet specific requirements; contrast enhancement, which adjusts the image to improve visibility of objects or features; and image normalization, which ensures that the pixel values are scaled to a consistent range. Other operations may involve color space conversion, edge detection, morphological operations, or image segmentation, depending on the specific requirements of the application. By applying image pre-processing techniques, the quality and reliability of subsequent computer vision or machine learning tasks, such as object detection, classification, or recognition, can be significantly improved.