Image processing technology deals with how an image can be analyzed and interpreted by a computer. This includes detecting objects in images, matching between images, tracking movements in images, and accessing information in images. Image processing is used in various fields, eg health, safety in fields such as aerospace and robotics.

Image processing technology enables the handling and interpretation of images. This includes operations such as detecting objects in images, matching, and motion tracking. For example, detecting a human face in footage from a security camera and matching it to other faces in a database can be accomplished using image processing technology.

Image processing technology is used in various fields. For example, in air traffic control systems, image processing is used to detect and track aircraft in images. In the healthcare field, image processing is used to detect and track tumors in images. In addition, image processing technology is used in the field of security, for example, for the detection and tracking of attackers in the footage of cameras. Image processing technology is used in various fields. For example, image processing technology in the healthcare field can be used in processes such as the detection of tumors in MR images or the detection of bones in X-ray images. In the field of security, image processing technology can be used to detect and match human faces in the images of security cameras.
Image processing is a branch of computer science that performs operations such as detecting, recognizing, evaluating and organizing visual data. Image processing technology aims to make inferences and extract information by handling images and performing various operations on these images. Image processing is a very broad field and can be used for many different applications. For example, image processing technology can be used in applications such as scanning images in security cameras, creating topographic maps in aerial photography, or detecting positions in robotic systems.

Image processing technology is used in various fields. For example, in air traffic control systems, image processing is used to detect and track aircraft in images. In the healthcare field, image processing is used to detect and track tumors in images. In addition, image processing technology is used in the field of security, for example, for the detection and tracking of attackers in the footage of cameras. Image processing technology is used in various fields. For example, image processing technology in the healthcare field can be used in processes such as the detection of tumors in MR images or the detection of bones in X-ray images. In the field of security, image processing technology can be used to detect and match human faces in the images of security cameras.
Image processing is a branch of computer science that performs operations such as detecting, recognizing, evaluating and organizing visual data. Image processing technology aims to make inferences and extract information by handling images and performing various operations on these images. Image processing is a very broad field and can be used for many different applications. For example, image processing technology can be used in applications such as scanning images in security cameras, creating topographic maps in aerial photography, or detecting positions in robotic systems.

Image processing technology handles the images produced by electronic devices and performs operations on these images. For example, images produced by a security camera can be scanned using image processing technology and filtered according to various criteria. In this way, the desired features on the images can be determined much more quickly.

Image processing technology is used in many different fields. For example, there are applications such as tumor detection on images in the health sector, automatic license plate identification in traffic control systems and detection of faulty production in industrial automation systems.

Artificial intelligence is also used in the field of image processing. For example, using artificial intelligence algorithms, operations such as face recognition, identification and categorization of objects can be performed on images.