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- W2024457306 abstract "This research presents an approach to integrate a priori information to the path metric of the LINK algorithm. The zero-crossing contours of the $DEL2G are taken as a gross estimate of the boundaries in the image. This estimate of the boundaries is used to define the swath of important information, and to provide a distance measure for edge localization. During the linking process, a priori information plays important roles in (1) dramatically reducing the search space because the actual path lies within +/- 2 (sigma) f from the prototype contours ((sigma) f is the standard deviation of the Gaussian kernel used in the edge enhancement step); (2) breaking the ties when the search metrics give uncertain information; and (3) selecting the set of goal nodes for the search algorithm. We show that the integration of a priori information in the LINK algorithms provides faster and more accurate edge linking.© (1992) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only." @default.
- W2024457306 created "2016-06-24" @default.
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- W2024457306 date "1992-09-16" @default.
- W2024457306 modified "2023-09-23" @default.
- W2024457306 title "<title>Integrating a priori information in edge-linking algorithms</title>" @default.
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- W2024457306 doi "https://doi.org/10.1117/12.138281" @default.
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