METODY ANALIZY OBRAZU – ANALIZA OBRAZU MAMMOGRAFICZNEGO NA PODSTAWIE CECH WYZNACZONYCH Z TEKSTURY

Jagoda  Lazarek

doi:10.35784/iapgos.1470

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Published: Dec 27, 2013

DOI: https://doi.org/10.35784/iapgos.1470

Issue Vol. 3 No. 4 (2013)

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DOI

https://doi.org/10.35784/iapgos.1470

Authors

Jagoda Lazarek

jagoda.lazarek@p.lodz.pl

Politechnika Łódzka, Wydział Fizyki Technicznej, Informatyki i Matematyki Stosowanej, Instytut Informatyki, Poland

Abstract

This paper presents an analysis of the possibility of using textural features for mammographic images classification. Textural features are calculated base on histogram, gradient matrix, run-length matrix, co-occurence matrix. Classification is based on k-NN classifier, the regions of interest can be classified as normal or abnormal. Results of some experiments are presented. All of abnormal regions were classified correctly

Keywords:

mammography, medical diagnostic imaging, image texture analysis, image classification

References

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Lazarek, J. . (2013). IMAGE ANALYSIS METHODS – ANALYSIS OF MAMMOGRAPHIC IMAGE BASED ON TEXTURAL FEATURES. Informatyka, Automatyka, Pomiary W Gospodarce I Ochronie Środowiska, 3(4), 10–13. https://doi.org/10.35784/iapgos.1470

IMAGE ANALYSIS METHODS – ANALYSIS OF MAMMOGRAPHIC IMAGE BASED ON TEXTURAL FEATURES

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