Watershed Framework to Region-based Image Segmentation

• Type: Article in International Conference Proceedings Book
• Date: 2008

Authors

Fernando Monteiro (Author) FEUP; Aurélio Campilho (Author) FEUP

Conference proceedings International

Title: 19TH INTERNATIONAL CONFERENCE ON PATTERN RECOGNITION, VOLS 1-6

Pages: 1586-1589

19th International Conference on Pattern Recognition (ICPR 2008)

Tampa, FL, DEC 08-11, 2008

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Scopus - 6 Citations

Scientific classification

CORDIS: Technological sciences > Engineering > Electronic engineering

Other information

Authenticus ID: P-004-5PF

DOI: 10.1109/ICPR.2008.4761587

Abstract (EN): 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.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 4