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An image segmentation algorithm based on irregular partitions of the image is presented which avoids some of the classical drawbacks of common hierarchical segmentation techniques. A reduced number of hierarchy levels are obtained by applying a new clustering technique at every level using the nearest neighbour criterion. The resulting clusters are connected and no relinking operations are needed. The algorithm has been tested on grey scale images, giving excellent segmentation results and involving a low computational load
Published in:
Electronics Letters
(Volume:36
,
Issue:
13
)
Date of Publication: 22 Jun 2000
- Page(s):
- 1111 - 1113
- ISSN :
- 0013-5194
- INSPEC Accession Number:
- 6646000
- Digital Object Identifier :
- 10.1049/el:20000833
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- 22 Jun 2000
- Sponsored by :
- Institution of Engineering and Technology
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