Watershed-based region merging using conflicting regions

In this paper, we present a method of watershed-based region merging using 'conflicting regions' for segmentation of gray level images. It is obvious that both regions and edges in an image give important clues to segmentation in our visual system. So our method uses information from both...

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Bibliographic Details
Published inProceedings. International Conference on Image Processing Vol. 2; p. II
Main Authors Sungeun Eom, Seokcheol Chang, Byungha Ahn
Format Conference Proceeding
LanguageEnglish
Published IEEE 2002
Subjects
Detectors
Image edge detection
Image segmentation
Mechatronics
Merging
Object detection
Visual system
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Summary:In this paper, we present a method of watershed-based region merging using 'conflicting regions' for segmentation of gray level images. It is obvious that both regions and edges in an image give important clues to segmentation in our visual system. So our method uses information from both regions and edges properly. We first obtain initial segments by applying watershed transformation to the image gradient magnitude and then find 'conflicting regions' by using the edges. After that, 'conflicting regions' and region homogeneity guide the iterative merging process. 'Conflicting regions' give a good starting point of merging and make it unnecessary to define termination criterion in advance. Since they serve as seeds, processing time is also inexpensive. The experimental results show that segmentation is visually reasonable.
ISBN:9780780376229
0780376226
ISSN:1522-4880
2381-8549
DOI:10.1109/ICIP.2002.1040067