Paper
27 February 1996 Fine segmentation of image objects by means of active contour models using information derived from morphological transformations
Silko Kruse, Peter P. Kauff
Author Affiliations +
Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233188
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
Abstract
A fine-segmentation system for precisely locating object contours is described. The system consists of three stages, where in the last stage an active contour model (ACM) is employed to attain a final refinement of the results. Unlike other ACM techniques the approach proposed here uses information provided by morphological operators. In this way two different segmentation paradigms are combined.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Silko Kruse and Peter P. Kauff "Fine segmentation of image objects by means of active contour models using information derived from morphological transformations", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233188
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Cited by 6 scholarly publications.
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KEYWORDS
Image segmentation

Motion estimation

Image processing

Data modeling

Feedback loops

Image analysis

Motion models

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