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Automatic Discriminative Lossy Binary Conversion of Redundant Real Training Data Inputs for Simplifying an Input Data Space and Data Representation Read chapter Read first chapter

2009 | OriginalPaper | Chapter

A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs

Authors : Marzena Bielecka, Marek Skomorowski, Bartosz Zieliński

Published in: Adaptive and Natural Computing Algorithms

Publisher: Springer Berlin Heidelberg

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Generalization of string languages describing shapes in order to apply them to analyze a contour of bones in hand radiographs is proposed in this paper. An algorithm to construct a fuzzy shape descriptor is introduced. Next, basing on the fuzzy descriptor, a univocal description by fuzzy interference is realized. In prospects this method will be used to erosion detection of hand bones visible in hand radiographs.

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previous chapter Dynamic Classifier Systems and Their Applications to Random Forest Ensembles
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Metadata
Title
A Fuzzy Shape Descriptor and Inference by Fuzzy Relaxation with Application to Description of Bones Contours at Hand Radiographs
Authors
Marzena Bielecka
Marek Skomorowski
Bartosz Zieliński
Copyright Year
2009
Publisher
Springer Berlin Heidelberg
Book
Adaptive and Natural Computing Algorithms

Print ISBN: 978-3-642-04920-0

Electronic ISBN: 978-3-642-04921-7

Copyright Year: 2009

DOI
https://doi.org/10.1007/978-3-642-04921-7_48