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Knowledge‐Based configuration of image segmentation processes
Author(s) -
Liedtke C.E.,
Blömer A.,
Gahm Th.
Publication year - 1990
Publication title -
international journal of imaging systems and technology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.359
H-Index - 47
eISSN - 1098-1098
pISSN - 0899-9457
DOI - 10.1002/ima.1850020405
Subject(s) - computer science , process (computing) , task (project management) , image (mathematics) , artificial intelligence , basis (linear algebra) , representation (politics) , sequence (biology) , knowledge representation and reasoning , segmentation , expert system , selection (genetic algorithm) , knowledge based systems , computer vision , data mining , mathematics , systems engineering , geometry , politics , biology , law , political science , engineering , genetics , operating system
The solution of an image interpretation problem using digital image analysis methods requires the configuration of an image analysis system to meet the requirements of this specific task the specific data material. This process includes the selection of the appropriate sequence of operators and the adaptation of the free parameters. A system has been developed and is described, which performs this configuration process automatically on the basis of a user‐specified task definition, and general knowledge of an image analysis expert. The latter knowledge has been assessed, stored, and used by employing different paradigms of knowledge representation similar to expert systems.