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

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

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Published
2013-12-27

Cited by

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

Authors

Jagoda Lazarek 
jagoda.lazarek@p.lodz.pl
Politechnika Łódzka, Wydział Fizyki Technicznej, Informatyki i Matematyki Stosowanej, Instytut Informatyki Poland

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