Computer Vision & Image Processing
Computer vision and image processing are two related fields that deal with the interpretation and manipulation of visual data.
Computer vision refers to the ability of computers to interpret and understand visual information from the world around them. This involves the use of algorithms and mathematical models to analyze and extract features from images and videos. Computer vision has many applications, including object recognition, facial recognition, robotics, self-driving cars, and medical imaging.
Image processing, on the other hand, is a field of study that focuses on the manipulation and enhancement of digital images using mathematical algorithms. Image processing techniques are used to improve the quality of images, extract information from them, and perform tasks such as image restoration, enhancement, and segmentation.
While computer vision and image processing are related, they differ in their focus and goals. Computer vision is concerned with the interpretation of visual data and the extraction of information from images, while image processing is focused on manipulating and improving digital images for a variety of applications.
Both computer vision and image processing are important fields in modern technology and are used in a wide range of applications, from medical imaging to video games. They are often used together to achieve more complex tasks, such as object recognition in computer vision or image restoration in image processing.