| Title | Watershed framework to region-based image segmentation |
| Publication Type | Conference Paper |
| Year of Publication | 2008 |
| Authors | Monteiro, FC, Campilho, A |
| Conference Name | Proceedings - International Conference on Pattern RecognitionProc. Int. Conf. Pattern Recognit. |
| Date Published | 2008/// |
| Conference Location | Tampa, FL |
| ISBN Number | 10514651 (ISSN); 9781424421756 (ISBN) |
| Keywords | Computationally efficient, Edge detection, Graph representation, Image gradients, Image information, Image regions, Image segmentation, Landforms, Pre-processing step, Process use, Rainfalling watershed, Region segmentation, Region-based, Spatial resolution, Spectral techniques, State-of-the-art methods, Watersheds |
| Abstract | 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. © 2008 IEEE. |
| URL | http://www.scopus.com/inward/record.url?eid=2-s2.0-77957964931&partnerID=40&md5=3c1ab50936b31063f75f5b6337ed3335 |
