IMAGE ANALYSIS METHODS – ANALYSIS OF MAMMOGRAPHIC IMAGE BASED ON TEXTURAL FEATURES
Jagoda Lazarek
jagoda.lazarek@p.lodz.plPolitechnika 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 classificationReferences
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Authors
Jagoda Lazarekjagoda.lazarek@p.lodz.pl
Politechnika Łódzka, Wydział Fizyki Technicznej, Informatyki i Matematyki Stosowanej, Instytut Informatyki Poland
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