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


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.

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