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


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


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

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