DocumentCode :
2827765
Title :
Joint region merging criteria for watershed-based image segmentation
Author :
Hernandez, Sergio E. ; Barner, Kenneth E.
Author_Institution :
Dept. of Electr. & Comput. Eng., Delaware Univ., Newark, DE, USA
Volume :
2
fYear :
2000
fDate :
10-13 Sept. 2000
Firstpage :
108
Abstract :
A new joint region merging criterion for watershed-based image segmentation is proposed. The method combines, in a weighted fashion, criteria based on region homogeneity and edge integrity, which have each been applied marginally with some relative success. However, those criteria have shown some significant drawbacks when applied separately. The new criterion takes joint advantage of these two methods, giving a final segmentation that is more visually appropriate. Additionally, a new nonlinear pre and post-filtering procedure is proposed for reducing the oversegmentation of the watershed algorithm. Experimental results are presented showing the advantages of the new merging criterion and the pre/post-filtering method.
Keywords :
filtering theory; image segmentation; edge integrity; joint region merging criterion; nonlinear post-filtering method; nonlinear pre-filtering method; oversegmentation reduction; region homogeneity; watershed-based image segmentation; Computational complexity; Filtering; Image converters; Image segmentation; Maximum likelihood detection; Merging; Nonlinear distortion; Nonlinear filters; Region 3; Smoothing methods;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 2000. Proceedings. 2000 International Conference on
Conference_Location :
Vancouver, BC, Canada
ISSN :
1522-4880
Print_ISBN :
0-7803-6297-7
Type :
conf
DOI :
10.1109/ICIP.2000.899239
Filename :
899239
Link To Document :
بازگشت