Povoroznyuk, A. I.Filatova, A. E.Zakovorotniy, A. Yu.Shehna, Kh.2020-04-032020-04-032019Development of method of matched morphological filtering of biomedical signals and images / A. I. Povoroznyuk [et al.] // Automatic control and computer sciences. – 2019. – Vol. 53, No. 3. – P. 253-262.https://repository.kpi.kharkov.ua/handle/KhPI-Press/45424Formalized approach to the analysis of biomedical signals and images with locally concentrated features is developed on the basis of matched morphological filtering taking into account the useful signal models that allowed generalizing the existing methods of digital processing and analysis of biomedical signals and images with locally concentrated features. The proposed matched morphological filter has been adapted to solve such problems as localization of the searched structural elements on biomedical signals with locally concentrated features, estimation of the irregular background aimed at the visualization quality improving of biological objects on X-ray biomedical images, pathologic structures selection on mammogram. The efficiency of the proposed methods of matched morphological filtration of biomedical signals and images with locally concentrated features is proved by experiments.enbiomedical signalbiomedical imagelocally concentrated featuresmatched morphologic filteruseful signal modelArticle