Image Processing

•Image processing is the process of acquiring a digital image, analyzing it, performing operations on it, and extracting results.

•This process is carried out by computers, where one or more images are taken as input, processed according to a specific objective, and outputs are produced.

•Images are composed of points called pixels, and each pixel has a numerical value representing a color or a grayscale tone. An image is represented as a pixel matrix that contains color values based on the coordinates of the pixels.

•Representing images in digital form allows them to be processed by computers.

•Image processing methods are used for various purposes such as recognizing patterns in images, separating objects, and enhancing image quality.

•In the medical field, image processing techniques are used on MRI images, CT scans, and other medical images to support disease diagnosis and treatment.

•In the automotive sector, image processing techniques are used to perceive the vehicle’s surroundings and for driver assistance systems (ADAS).

•Security cameras and video surveillance systems can analyze human behavior and detect anomalies using image processing techniques.

•In agriculture, image processing techniques are used to detect plant diseases, automate harvesting, and increase agricultural efficiency.

•In production lines, image processing systems are used to control and inspect product quality.