DocumentCode :
2627231
Title :
Watershed pyramids for edge detection
Author :
Wright, Anthony S. ; Acton, Scott T.
Author_Institution :
Sch. of Electr. & Comput. Eng., Oklahoma State Univ., Stillwater, OK, USA
Volume :
2
fYear :
1997
fDate :
26-29 Oct 1997
Firstpage :
578
Abstract :
In this paper, we present a multiresolution implementation of the watershed segmentation algorithm. Our approach uses the morphological pyramid to form a scale space representation, offering a significant reduction in computational cost. In addition to increased efficiency, the multiresolution approach avoids the over-segmentation problem of traditional fixed scale watershed algorithms. As shown in the examples, the watershed pyramids produce edge maps corresponding to the desired scale without sacrificing accuracy in edge location
Keywords :
edge detection; image representation; image resolution; image segmentation; mathematical morphology; edge detection; edge location; edge maps; image processing; morphological pyramid; multiresolution implementation; scale space representation; watershed pyramids; watershed segmentation algorithm; Computational efficiency; Image edge detection; Image processing; Image resolution; Image segmentation; Laboratories; Manufacturing processes; Pixel; Surface morphology; Surface topography;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1997. Proceedings., International Conference on
Conference_Location :
Santa Barbara, CA
Print_ISBN :
0-8186-8183-7
Type :
conf
DOI :
10.1109/ICIP.1997.638837
Filename :
638837
Link To Document :
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