Artificial intelligence and pattern recognition techniques in microscope image processing and analysis

Publisher Summary This chapter discusses the role played by tools originating from the field of artificial intelligence (AI). The aim of AI is to stimulate the developments of computer algorithms able to perform the same tasks that are carried out by human intelligence. Some fields of application of AI are automatic problem solving methods for knowledge representation and knowledge engineering, machine vision and pattern recognition, artificial learning, automatic programming, the theory of games, and so forth. Although methods based on the signal theory and the set theory remain the most frequently used methods for the processing of microscope images, methods originating from the framework of AI and pattern recognition seem to produce a growing interest. Among these methods, some of those related to automatic classification and to dimensionality reduction are already being used extensively. The chapter evaluates whether or not tools originating from pattern recognition and AI have diffused within the community of microscopists. It discusses methods available for image processing and analysis in the framework of pattern recognition and AI.

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