THE INFLUENCE OF THE PRINCIPAL COMPONENT ANALYSIS OF TEXTURE FEATURES ON THE CLASSIFICATION QUALITY OF SPONGE TISSUE IMAGES

THE INFLUENCE OF THE PRINCIPAL COMPONENT ANALYSIS OF TEXTURE FEATURES ON THE CLASSIFICATION QUALITY OF SPONGE TISSUE IMAGES

The aim of this article was to determine the effect of principal component analysis on the results of classification of spongy tissue images. Four hundred computed tomography images of the spine (L1 vertebra) were used for the analyses. The images were from fifty healthy patients and fifty patients...

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Bibliographic Details
Main Author: Róża Dzierżak
Format: Article
Language:English
Published: Lublin University of Technology 2020-09-01
Series:Informatyka, Automatyka, Pomiary w Gospodarce i Ochronie Środowiska
Subjects:
principal component analysis
classification
texture analysis
medical imaging
Online Access:https://ph.pollub.pl/index.php/iapgos/article/view/2196

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