Please use this identifier to cite or link to this item:
Full metadata record
DC FieldValueLanguage
dc.contributor.authorFedorov, Eugene-
dc.contributor.authorUtkina, Tetiana-
dc.contributor.authorRudakov, Kostiantyn-
dc.contributor.authorLukashenko, Andriy-
dc.contributor.authorMitsenko, Sergii-
dc.contributor.authorChychuzhko, Maryna-
dc.contributor.authorLukashenko, Valentyna-
dc.contributor.authorФедоров, Євген Євгенович-
dc.contributor.authorУткіна, Тетяна Юріївна-
dc.contributor.authorРудаков, Костянтин Сергійович-
dc.contributor.authorЛукашенко, Андрій Германович-
dc.contributor.authorМіценко, Сергій Анатолійович-
dc.contributor.authorЧичужко, Марина Володимирывна-
dc.contributor.authorЛукашенко, Валентина Максимівна-
dc.description.abstractThe paper proposes a method for extracting a breast image from a mammogram. For this, mammogram binarization, scaling and segmentation of a binary scaled mammogram with the subsequent selection of the maximum connected component that corresponds to a breast image have been suggested. The proposed binarization uses uniform quantization that simplifies the selection of the threshold value for different mammograms. The proposed binary mammogram scaling uses a fast wavelet transform and an arithmetic mean filter with threshold processing which accelerates further segmentation. The proposed segmentation of binary scaled mammograms uses density clustering to extract connected components that can more accurately extract the breast image. The proposed method for processing a mammogram based on binarization, scaling, and segmentation can be used in various intelligent medical diagnostic systems.uk_UA
dc.publisherCEUR Workshop Proceedingsuk_UA
dc.subjectbreast image extraction from a mammogramuk_UA
dc.subjectthreshold processinguk_UA
dc.subjectfast wavelet transformuk_UA
dc.subjectarithmetic mean filteruk_UA
dc.subjectdensity clusteringuk_UA
dc.titleA Method for Extracting a Breast Image from a Mammogram Based on Binarization, Scaling and Segmentationuk_UA
Appears in Collections:Наукові публікації викладачів (ФІТІС)

Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.