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Image segmentation through applied visual intelligence

Posted on:2010-08-31Degree:Ph.DType:Dissertation
University:Oakland UniversityCandidate:Kania, Robert ThomasFull Text:PDF
GTID:1448390002989616Subject:Engineering
Abstract/Summary:
The Holy Grail of computer vision and image analysis is to develop an artificial visual intelligence system that can recognize, learn, and identify, in the general case, arbitrary objects in arbitrary situations. To date, cognitive science researchers have been studying for centuries how biological systems accomplish this. Concurrently, research in the fields of computer vision and image analysis has been investigating how artificial systems can accomplish this. This paper proposes what could happen and documents what has happened when these fields, the biological, psychological, and the artificial, are brought together to offer a solution to the intelligent image segmentation problem---a precursor to obtaining the grail.
Keywords/Search Tags:Image, Artificial
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