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Syntactic-geometric-fuzzy hierarchical classifier of contours with application to analysis of bone contours in X-ray images.

Authors :
Bielecka, Marzena
Source :
Applied Soft Computing; Aug2018, Vol. 69, p368-380, 13p
Publication Year :
2018

Abstract

In this paper, a new hierarchical method of contour analysis is proposed. The first stage of the analysis is based on the syntactic approach in which elementary segments of the contour are extracted by using geometric features. As a result, each extracted segment belongs to one of the equivalence classes which make the set of primitives. The contour is described as a string of primitives. The applied syntactic approach is a generalization of a classical shape language. Such description enables to classify some cases, but not all. Therefore, the second stage of the classification is applied. It consists in analysing other local geometric features of the contour in the context of the syntactic description obtained at the first stage of the analysis. The values of these features are used to define the arguments of the membership functions of the family of fuzzy sets which is the basis for the contour classification at the second stage of the analysis. The proposed formalism has been applied effectively to the recognition of bone contours in X-ray images. Healthy bones, the bones with erosions and the bones with osteophytes have been classified correctly. The proposal described in this paper turned out to be effective in the classification of contours of bones. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
15684946
Volume :
69
Database :
Supplemental Index
Journal :
Applied Soft Computing
Publication Type :
Academic Journal
Accession number :
130691458
Full Text :
https://doi.org/10.1016/j.asoc.2018.04.038