Object segmentation within microscope images of palynofacies

Identification of fossil material under a microscope is the basis of micropalentology. Our task is to locate and count the pieces of inertinite and vitrinite in images of sieve sampled rock. The classical watershed algorithm oversegments the objects because of their irregular shapes. In this paper w...

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Bibliographic Details
Published in:Computers & geosciences 2008-06, Vol.34 (6), p.688-698
Main Authors: Charles, J.J., Kuncheva, L.I., Wells, B., Lim, I.S.
Format: Article
Language:English
Subjects:
Earth sciences
Earth, ocean, space
Exact sciences and technology
Image processing
Object segmentation
Paleobotany
Paleontology
Palynomorphs
Watershed
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Summary:Identification of fossil material under a microscope is the basis of micropalentology. Our task is to locate and count the pieces of inertinite and vitrinite in images of sieve sampled rock. The classical watershed algorithm oversegments the objects because of their irregular shapes. In this paper we propose a method for locating multiple objects in a black and white image while accounting for possible overlapping or touching. The method, called Centre Supported Segmentation (CSS), eliminates oversegmentation and is robust against differences in size and shape of the objects.
ISSN:0098-3004
1873-7803
DOI:10.1016/j.cageo.2007.09.014