informИнформатикаInformatics1816-03012617-6963UIIP NASBinform-38Research ArticleОБРАБОТКА СИГНАЛОВ, ИЗОБРАЖЕНИЙ, РЕЧИ, ТЕКСТА И РАСПОЗНАВАНИЕ ОБРАЗОВSIGNAL, IMAGE, SPEECH, TEXT PROCESSING AND PATTERN RECOGNITIONСРАВНИТЕЛЬНЫЙ АНАЛИЗ ЭФФЕКТИВНОСТИ РАЗЛИЧНЫХ ВИДОВ ДЕСКРИПТОРОВ В ЗАДАЧЕ ПОИСКА МЕДИЦИНСКИХ ИЗОБРАЖЕНИЙCOMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVALДмитрукА. А.DmitrukА. А.dmitruk@newman.bas-net.byОбъединенный институт проблем информатики НАН БеларусиBelarus20152909201603512Copyright © Дмитрук А.А., 20162016Дмитрук А.А.Dmitruk А.А.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://inf.grid.by/jour/article/view/38

Приводятся результаты сравнительного анализа эффективности различных видов дескрипторов в контексте задачи поиска медицинских изображений по содержанию. Поиск осуществляется по 11 тестовым базам с использованием 137 видов дескрипторов. Наилучшие результаты показывают дескрипторы на основе матриц совместной встречаемости, а также локальных бинарных шаблонов.

This paper presents results of comparative analysis of image descriptors in the context of content- based medical image retrieval problem. Experiments are carried out on 11 test databases using 137 different types of descriptors. Image descriptors based on co-occurrence matrices and local binary patterns showed the best performance.

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The authors declare that there are no conflicts of interest present.