Two-Stage Image Segmentation by Adaptive Thresholding and Gradient Watershed

Authors:
Ming Hong Pi;Hong Zhang
Affiliations:
University of Alberta, Edmonton, AB, Canada;University of Alberta, Edmonton, AB, Canada
Venue:
CRV '05 Proceedings of the 2nd Canadian conference on Computer and Robot Vision
Year:
2005

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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.