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

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DOI

Jagoda Lazarek

jagoda.lazarek@p.lodz.pl

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

Article Details

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