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Authors
Advisor(s)
Abstract(s)
This paper proposes a new framework to image segmentation which combines edge- and region-based information with spectral techniques through the morphological algorithm of watersheds. A pre-processing step is used to reduce the spatial resolution without losing important image information. An initial partitioning of the image into primitive regions is set by applying a rainfalling watershed algorithm on the image gradient magnitude. This initial partition is the input to a computationally efficient region segmentation process which produces the final segmentation. The latter process uses a region-based similarity graph representation of the image regions. The experimental results clearly demonstrate the effectiveness of the proposed approach to produce simpler segmentations and to compare favourably with state-of-the-art methods.
Description
Indexado ISI.
Keywords
Image segmentation Watershed Hybrid methods
Citation
Monteiro, Fernando C. (2008). Watershed framework to region-based image segmentation. In 19th IEEE International Conference on Pattern Recognition. Tampa, Florida, USA . p.1-4. ISBN 978-1-4244-2174-9