DocumentCode
3380369
Title
Two-stage image segmentation by adaptive thresholding and gradient watershed
Author
Pi, Ming Hong ; Zhang, Hong
Author_Institution
Centre for Intelligent Min. Syst., Alberta Univ., Edmonton, Alta., Canada
fYear
2005
fDate
9-11 May 2005
Firstpage
57
Lastpage
64
Abstract
Many images contain the coarse pieces and fine particles. Hence it is often important to segment the coarse pieces and fine particles using different segmentation techniques. In this paper, we combine adaptive thresholding and watershed transform in a two-stage image segmentation method, which has been used for oil-sand size analysis. We also present an image-retrieval-like approach to speed up size estimation of the fine particles.
Keywords
gradient methods; image segmentation; transforms; adaptive thresholding; gradient watershed; image-retrieval; oil-sand size analysis; size estimation; two-stage image segmentation; watershed transform; Costs; Gray-scale; Image analysis; Image segmentation; Intelligent systems; Pixel; Quality control; Size measurement; Surface morphology; Surface topography;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer and Robot Vision, 2005. Proceedings. The 2nd Canadian Conference on
Print_ISBN
0-7695-2319-6
Type
conf
DOI
10.1109/CRV.2005.82
Filename
1443112
Link To Document