[edit] Computer vision systems
The organization of a computer vision system is highly application dependent.
To date, computer vision systems have been unable to emulate the full capabilities of the human visual system. The human eye-brain combination has proved able to categorise previously unseen objects with ease, using background knowledge and context.
Despite this, most computer vision systems must do with one (normally greyscale) camera, so change in colour intensity is the next best thing! So, firstly let us look at the Sobel Edge Detector.
It includes descriptions of current research, software downloads (note, these are mostly concerned with the highly technical problems of computer vision systems, and will not, for the most part, be runnable on a normal PC) and several demos of ...
specialized hardware (e.g., LISP computers) and software (e.g., expert system shells sold by Teknowledge, Intellicorp, and Inference) to help build better and less expensive expert systems. Low quality, but effective computer vision systems were also ...
 See also: Computer vision, Artificial intelligence, Machine learning, Robotics, AI
  
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