Image processing on Macintosh II: A practical boundary finding algorithm for biomedical measurement
| Autor: | Jin-zhao Wang, Reuben S. Mezrich, David A. Sebok |
|---|---|
| Rok vydání: | 1990 |
| Předmět: |
Radiological and Ultrasound Technology
biology Computer program Computer science Turbo Boundary (topology) Health Informatics Image processing biology.organism_classification Computer Graphics and Computer-Aided Design Edge detection Image (mathematics) Models Structural Microcomputers Research Design Personal computer Image Processing Computer-Assisted Programming Languages Radiology Nuclear Medicine and imaging Computer Vision and Pattern Recognition Algorithm Algorithms Software TRACE (psycholinguistics) |
| Zdroj: | Computerized Medical Imaging and Graphics. 14:163-171 |
| ISSN: | 0895-6111 |
| DOI: | 10.1016/0895-6111(90)90056-h |
| Popis: | With increasing research interest in displaying and analyzing biomedical images, a practical personal computer based off-line image processing software would be useful. This paper describes the implementation of an image processing work station on a Macintosh II which features a novel edge detection capability useful for biomedical measurement. The boundary finding algorithm is coded in Turbo Pascal®, and operates at a speed comfortable for interactive operation. Depending on the complexity of the problem, it usually takes less than a minute for the measurement of an image. The edge detection algorithm has an built-in edge detector with decision-making capability, and can be efficiently controlled by a mouse. In this way, the local accuracy of an automatic edge detection operator, and the global accuracy of the human eye (through manual control of a mouse) are combined. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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