Title :
Expert systems for image processing-knowledge-based composition of image analysis processes
Author :
Matsuyama, Takashi
Author_Institution :
Dept. of Inf. Eng., Tohoku Univ., Miyagi, Japan
Abstract :
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
Keywords :
computerised picture processing; expert systems; knowledge based systems; knowledge representation; computerised picture processing; expert systems; image analysis; image processing; image segmentation; knowledge representation; knowledge-based composition; rule-based design systems; software engineering; Algorithm design and analysis; Digital images; Expert systems; Image analysis; Image edge detection; Image processing; Image quality; Image segmentation; Knowledge representation; Performance analysis;
Conference_Titel :
Pattern Recognition, 1988., 9th International Conference on
Conference_Location :
Rome
Print_ISBN :
0-8186-0878-1
DOI :
10.1109/ICPR.1988.28187
