DocumentCode :
1863669
Title :
Stochastic watershed hierarchies
Author :
Meyer, Fernand
Author_Institution :
Center for Math. Morphology, PSL Res. Univ., Fontainebleau, France
fYear :
2015
fDate :
4-7 Jan. 2015
Firstpage :
1
Lastpage :
8
Abstract :
We present a segmentation strategy which first constructs a hierarchy, i.e. a series of nested partitions. A coarser partition is obtained by merging adjacent regions in a finer partition. The strength of a contour is then measured by the level of the hierarchy for which its two adjacent regions merge. Various strategies are presented for constructing hierarchies which highlight specific features of the image. The last part shows how the hierarchies lead to a final segmentation.
Keywords :
image segmentation; adjacent regions; contour strength; final segmentation; finer partition; image features; nested partitions; segmentation strategy; stochastic watershed hierarchies; Absorption; Image edge detection; Image segmentation; Joining processes; Robustness; Transforms; Vegetation; Hierarhies; Mathematical Morphology; Segmentation; Stochastic Watershed; Waterfall;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Advances in Pattern Recognition (ICAPR), 2015 Eighth International Conference on
Conference_Location :
Kolkata
Type :
conf
DOI :
10.1109/ICAPR.2015.7050646
Filename :
7050646
Link To Document :
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