Expert systems for image processing-knowledge-based composition of image analysis processes

Expert systems for image processing are classified into four categories, and their objectives, knowledge representation, reasoning methods, and shortcomings are discussed. The categories are: (1) consultation systems for image processing; (2) knowledge-based program composition systems; (3) rule-based design systems for image segmentation algorithms; and (4) goal-directed image segmentation systems. The importance of choosing effective image analysis strategies is discussed. Two methods are proposed for characterizing image analysis strategies: one from a software engineering viewpoint and the other from a knowledge representation viewpoint. Several examples are given to demonstrate the effectiveness of these methods.<
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