ZASTOSOWANIE METODY HELLWIGA DO REDUKCJI WYMIARU  PRZESTRZENI CECH OBRAZÓW USG TARCZYCY

Zbigniew Omiotek; Waldemar Wójcik

doi:10.5604/20830157.1121333

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Published: Sep 26, 2014

DOI: https://doi.org/10.5604/20830157.1121333

Issue Vol. 4 No. 3 (2014)

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DOI

https://doi.org/10.5604/20830157.1121333

Authors

Zbigniew Omiotek

zomiotek@gmail.com

Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Poland

Waldemar Wójcik

waldemar.wojcik@pollub.pl

Lublin University of Technology, Faculty of Electrical Engineering and Computer Science, Poland

Abstract

This paper presents the use of Hellwig’s method for dimension reduction in feature space of thyroid ultrasound images. On the base of this method, the combination of three features with the greatest value of Hellwig’s index information capacity from the input set of 283 features was obtained. This set was used to build and test the classifiers. Classification results were compared with the results obtained for a set of 48 features obtained using correlation method. It turned out that the accuracy of classifiers built on the base of 3 features is not worse than the accuracy of classifiers built on the base of 48 features, and in some cases it is even higher. This suggests that the Hellwig’s method can be used as an effective method for dimension reduction in feature space for the future thyroid ultrasound images classification.

Keywords:

Hellwig’s method, Hashimoto’s disease, image processing, texture classification

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Strona domowa środowiska R: http://www.r-project.org/

Omiotek, Z., & Wójcik, W. (2014). THE USE OF HELLWIG’S METHOD FOR DIMENSION REDUCTION IN FEATURE SPACE OF THYROID ULTRASOUND IMAGES. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 4(3), 14–17. https://doi.org/10.5604/20830157.1121333

THE USE OF HELLWIG’S METHOD FOR DIMENSION REDUCTION IN FEATURE SPACE OF THYROID ULTRASOUND IMAGES

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