COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVAL

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 pat...

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Main Author: А. А. Dmitruk
Format: Article
Language:Russian
Published: The United Institute of Informatics Problems of the National Academy of Sciences of Belarus 2016-09-01
Series:Informatika
Online Access:https://inf.grid.by/jour/article/view/38
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spelling doaj-a7c3bbe3a5564803b4e64c833c1391462021-07-28T21:07:21ZrusThe United Institute of Informatics Problems of the National Academy of Sciences of Belarus Informatika1816-03012016-09-010351237COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVALА. А. Dmitruk0Объединенный институт проблем информатики НАН БеларусиThis 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.https://inf.grid.by/jour/article/view/38
collection DOAJ
language Russian
format Article
sources DOAJ
author А. А. Dmitruk
spellingShingle А. А. Dmitruk
COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVAL
Informatika
author_facet А. А. Dmitruk
author_sort А. А. Dmitruk
title COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVAL
title_short COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVAL
title_full COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVAL
title_fullStr COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVAL
title_full_unstemmed COMPARATIVE STUDY OF DESCRIPTORS FOR MEDICAL IMAGE RETRIEVAL
title_sort comparative study of descriptors for medical image retrieval
publisher The United Institute of Informatics Problems of the National Academy of Sciences of Belarus
series Informatika
issn 1816-0301
publishDate 2016-09-01
description 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.
url https://inf.grid.by/jour/article/view/38
work_keys_str_mv AT aadmitruk comparativestudyofdescriptorsformedicalimageretrieval
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