Abstract | ||
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Classical morphology is built up in such a way that all op- erators occur in pairs, e.g., dilation and erosion, opening and closing, etc. This phenomenon, which is a straightfor- ward consequence of the duality principle, often prohibits the construction of tools that treat foreground and back- ground of signals in exactly the same way. In this paper we discuss an alternative framework for morphological im- age processing that gives rise to image operators which are intrinsically self-dual. |
Year | DOI | Venue |
---|---|---|
2000 | 10.1109/ICIP.2000.899870 | Image Processing, 2000. Proceedings. 2000 International Conference |
Keywords | Field | DocType |
image processing,mathematical morphology,mathematical operators,background,closing,dilation,erosion,foreground,image operators,morphological image processing,morphological operators,opening,self-dual morphology,self-dual partial ordering,translation invariance | Computer vision,Dilation (morphology),Mathematical Operators,Computer science,Mathematical morphology,Image processing,Translation invariance,Duality (optimization),Operator (computer programming),Artificial intelligence,Phenomenon | Conference |
Volume | ISSN | ISBN |
2 | 1522-4880 | 0-7803-6297-7 |
Citations | PageRank | References |
5 | 0.76 | 2 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Henk J. A. M. Heijmans | 1 | 92 | 17.89 |
Renato Keshet | 2 | 338 | 27.26 |