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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Song, L. Donovan, R.M. |
| Copyright Year | 1989 |
| Description | Author affiliation: Dept. of Internal Med., California Univ., Davis, CA, USA (Song, L.; Donovan, R.M.) |
| 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.< |
| Starting Page | 1785 |
| Ending Page | 1786 |
| File Size | 233403 |
| Page Count | 2 |
| File Format | |
| DOI | 10.1109/IEMBS.1989.96455 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1989-11-09 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Expert systems Image edge detection Search methods Humans Medical expert systems Biomedical imaging Medical diagnostic imaging Logic Testing Data mining |
| Content Type | Text |
| Resource Type | Article |
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