Title :
An expert system for cell edge detection using the heuristic search method
Author :
Song, Loling ; Donovan, Richard M.
Author_Institution :
Dept. of Internal Med., California Univ., Davis, CA, USA
Abstract :
An edge detection technique that utilizes human heuristic knowledge and integrates local threshold and local contrast information was developed and implemented. A rule-based expert system was used to represent the logic of the heuristic search method and the rule-of-thumb knowledge of a human observer. The result from preliminary testing showed that the ratio of the solution path to the total search effort is approximately one half. The cell edges were accurately detected, even when weak edges were present. It was concluded that heuristic information reduces the total search effort and that heuristic search has the flexibility to adjust itself to changes in the local contrast and gradient
Keywords :
expert systems; medical computing; cell edge detection; heuristic search method; human heuristic knowledge; local contrast information; local threshold information; rule-based expert system; rule-of-thumb knowledge; solution path; total search effort; Biomedical imaging; Data mining; Expert systems; Humans; Image edge detection; Logic; Medical diagnostic imaging; Medical expert systems; Search methods; Testing;
Conference_Titel :
Engineering in Medicine and Biology Society, 1989. Images of the Twenty-First Century., Proceedings of the Annual International Conference of the IEEE Engineering in
Conference_Location :
Seattle, WA
DOI :
10.1109/IEMBS.1989.96455