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Two-Stage Image Segmentation by Adaptive Thresholding and Gradient Watershed
The University of Victoria, Victoria, British Columbia, Canada May 09-May 11
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/CRV.2005.82The 2nd Canadian Conference on Comput ...
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Ming Hong Pi, Hong Zhang, "Two-Stage Image Segmentation by Adaptive Thresholding and Gradient Watershed," Computer and Robot Vision, Canadian Conference, pp. 57-64, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005.
 
 
BibTex
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@article{ 10.1109/CRV.2005.82,
author = {Ming Hong Pi and Hong Zhang},
title = {Two-Stage Image Segmentation by Adaptive Thresholding and Gradient Watershed},
journal ={Computer and Robot Vision, Canadian Conference},
volume = {0},
year = {2005},
isbn = {0-7695-2319-6},
pages = {57-64},
doi = {http://doi.ieeecomputersociety.org/10.1109/CRV.2005.82},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Computer and Robot Vision, Canadian Conference
TI - Two-Stage Image Segmentation by Adaptive Thresholding and Gradient Watershed
SN - 0-7695-2319-6
SP57
EP64
A1 - Ming Hong Pi,
A1 - Hong Zhang,
PY - 2005
KW - null
VL - 0
JA - Computer and Robot Vision, Canadian Conference
ER -
 
Ming Hong Pi, University of Alberta, Edmonton, AB, Canada
Hong Zhang, University of Alberta, Edmonton, AB, Canada
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.
Citation:
Ming Hong Pi, Hong Zhang, "Two-Stage Image Segmentation by Adaptive Thresholding and Gradient Watershed," crv, pp.57-64, The 2nd Canadian Conference on Computer and Robot Vision (CRV'05), 2005
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