Analysis of microtomographic images of porous heterogeneous materials
In this work, we study the phases of image processing chain of microtomographic imag-
ing in order to obtain reliable results while optimizing the time spent on denoising and
segmentation. We consider that the decisions made at the early phases of the processing
chain are most important and the selection made there essentially determine the overall
quality of imaging process. We also compare here various denoising method qualita-
tively, however, we think that the pure noise removal ability is not the only requirement
for noise removal in microtomographic images. By proper denoising we can affect selec-
tion of segmentation methods and, thus, also the quality of the analysis. Additionally, at
the end, we also review the image segmentation and analysis methods commonly used in
microtomographic imaging.
Julkaisija
University of JyväskyläISBN
978-951-39-6446-7ISSN Hae Julkaisufoorumista
1456-5390Asiasanat
Metadata
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