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Title: A Method for Extracting a Breast Image from a Mammogram Based on Binarization, Scaling and Segmentation
Authors: Fedorov, Eugene
Utkina, Tetiana
Rudakov, Kostiantyn
Lukashenko, Andriy
Mitsenko, Sergii
Chychuzhko, Maryna
Lukashenko, Valentyna
Федоров, Євген Євгенович
Уткіна, Тетяна Юріївна
Рудаков, Костянтин Сергійович
Лукашенко, Андрій Германович
Міценко, Сергій Анатолійович
Чичужко, Марина Володимирывна
Лукашенко, Валентина Максимівна
Keywords: breast image extraction from a mammogram;binarization;quantization;threshold processing;scaling;fast wavelet transform;arithmetic mean filter;segmentation;density clustering
Issue Date: 2019
Publisher: CEUR Workshop Proceedings
Abstract: The 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.
ISSN: 1613-0073
Volume: 2488
First Page: 84
End Page: 98
Appears in Collections:Наукові публікації викладачів (ФІТІС)

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