Digital Image Processing
Updated: Jan 13, 2022
Digital image processing is a process to perform image processing algorithms on digital images. Digital Image Processing contains the processing of images such as reading, analyzing, and manipulating an image, and performing any kind of operation, such as improving the information representation of an image, processing the image data for storage, transmission, and representation. Digital image processing is used in projects dealing with classification, feature extraction, pattern recognition, etc. Techniques that are used in digital image processing are Image editing, Image restoration, Linear filtering, Pixelation, Point feature matching, Principal components analysis, Independent component analysis, etc.
Image recognition technology is the process of identifying and detecting an object or a feature in a digital image or video. The field of image recognition has gained widespread acclaim in the past few years. Image recognition system uses the data shared by users through various platforms such as social networks, apps, and websites. It uses a technology that detects places, people, items, buildings, logos, and different variables in pictures with the help of artificial intelligence.