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The science and technology of machines that see referred to as Computer Vision. As a scientific order, Computer Vision is concerned with the theory and technology for building artificial systems that get hold of information from images. The image data can then take many forms, such as views from multiple cameras, a video sequence, or multi-dimensional data from a medical scanner. The Computer Vision seeks to apply the theories and models of Computer Vision to the creation of Computer Vision systems. Some of the various examples of applications of Computer Vision systems include the:

• Controlling processes for e.g. an industrial robot or an autonomous vehicle.
• Detecting events for e.g. for visual surveillance or people counting.
• Organizing information for e.g. for indexing databases of images and image sequences.
• Modeling objects or environments like industrial inspection, medical image analysis or topographical modeling.
• Interaction like the input to a device for computer-human interaction.

Computer Vision can also be described as a balance of biological vision. In biological vision, the visual perception of humans and various animals are studied, resulting in models of how these systems operate in terms of physiological processes. On the other hand, Computer Vision studies and describes the artificial vision systems that are implemented in software and/or hardware. Interdisciplinary exchange between biological and Computer Vision has proven to be increasingly fruitful for both fields. The sub-domains of Computer Vision include event detection, tracking, scene reconstruction, learning, indexing, object recognition, and ego-motion and image restoration. The Needs For Vision is very vital to all living beings and there are various ways of applications for Computer Vision. One of the most important applications is in the fields of medicine. It is called Medical Computer Vision or medical image processing. This area is characterized by the removal of information from image data for the purpose of making a medical diagnosis of a patient. Usually, image data is in the form of microscopy X-ray images, images, ultrasonic images, angiography images, and tomography images. One such example of information which can be extracted from such image data is recognition of tumors, arteriosclerosis or other malign changes. This application area also supports all types of medical research by offering new information, like about the structure of the brain, or about the quality of medical treatments. Another type of application area in Computer Vision is in the industry. Here, information is extracted for the reason of supporting a manufacturing procedure. One example is quality control where facts or final products are being mechanically inspected in order to find defects. measurement of position and orientation of details to be picked up by a robot arm is another such example.

The Military applications are possibly one of the largest areas for Computer Vision. The palpable examples are detection of enemy soldiers or vehicles and missile guidance. More superior systems for missile guidance send the missile to an area rather than a specific target, and target selection is made when the missile arrives at the area based on locally acquired image data. In this case, automatic processing of the data is used to decrease difficulty and to fuse information from numerous sensors to increase reliability.