SEGMENTATION AND COMPACT MULTISCALE REPRESENTATION OF THE IMAGES BASED ON PROGRESSIVE BACKWARD CLUSTERING

Developing a method of segmentation and compact multiscale representation of images based on the progressive backward clustering. The method provides an accurate segmentation, multiscale representation and compression of the segmented images, adaptation to a limitation on the time of segmentation.

Bibliographic Details
Main Authors: O. M. Almiahi, V. Yu. Tsviatkou, E. G. Makeichik
Format: Article
Language:Russian
Published: Educational institution «Belarusian State University of Informatics and Radioelectronics» 2019-06-01
Series:Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
Subjects:
Online Access:https://doklady.bsuir.by/jour/article/view/550
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spelling doaj-fac0ebde96384b4eb2027f39dfd34cb42021-07-28T16:19:48ZrusEducational institution «Belarusian State University of Informatics and Radioelectronics»Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki1729-76482019-06-01064854549SEGMENTATION AND COMPACT MULTISCALE REPRESENTATION OF THE IMAGES BASED ON PROGRESSIVE BACKWARD CLUSTERINGO. M. Almiahi0V. Yu. Tsviatkou1E. G. Makeichik2Белорусский государственный университет информатики и радиоэлектроникиБелорусский государственный университет информатики и радиоэлектроникиБелорусский государственный университет информатики и радиоэлектроникиDeveloping a method of segmentation and compact multiscale representation of images based on the progressive backward clustering. The method provides an accurate segmentation, multiscale representation and compression of the segmented images, adaptation to a limitation on the time of segmentation.https://doklady.bsuir.by/jour/article/view/550сегментация изображениймногомасштабное представление изображенийкомпактное представление изображенийпрогрессивная обратная кластеризация
collection DOAJ
language Russian
format Article
sources DOAJ
author O. M. Almiahi
V. Yu. Tsviatkou
E. G. Makeichik
spellingShingle O. M. Almiahi
V. Yu. Tsviatkou
E. G. Makeichik
SEGMENTATION AND COMPACT MULTISCALE REPRESENTATION OF THE IMAGES BASED ON PROGRESSIVE BACKWARD CLUSTERING
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
сегментация изображений
многомасштабное представление изображений
компактное представление изображений
прогрессивная обратная кластеризация
author_facet O. M. Almiahi
V. Yu. Tsviatkou
E. G. Makeichik
author_sort O. M. Almiahi
title SEGMENTATION AND COMPACT MULTISCALE REPRESENTATION OF THE IMAGES BASED ON PROGRESSIVE BACKWARD CLUSTERING
title_short SEGMENTATION AND COMPACT MULTISCALE REPRESENTATION OF THE IMAGES BASED ON PROGRESSIVE BACKWARD CLUSTERING
title_full SEGMENTATION AND COMPACT MULTISCALE REPRESENTATION OF THE IMAGES BASED ON PROGRESSIVE BACKWARD CLUSTERING
title_fullStr SEGMENTATION AND COMPACT MULTISCALE REPRESENTATION OF THE IMAGES BASED ON PROGRESSIVE BACKWARD CLUSTERING
title_full_unstemmed SEGMENTATION AND COMPACT MULTISCALE REPRESENTATION OF THE IMAGES BASED ON PROGRESSIVE BACKWARD CLUSTERING
title_sort segmentation and compact multiscale representation of the images based on progressive backward clustering
publisher Educational institution «Belarusian State University of Informatics and Radioelectronics»
series Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki
issn 1729-7648
publishDate 2019-06-01
description Developing a method of segmentation and compact multiscale representation of images based on the progressive backward clustering. The method provides an accurate segmentation, multiscale representation and compression of the segmented images, adaptation to a limitation on the time of segmentation.
topic сегментация изображений
многомасштабное представление изображений
компактное представление изображений
прогрессивная обратная кластеризация
url https://doklady.bsuir.by/jour/article/view/550
work_keys_str_mv AT omalmiahi segmentationandcompactmultiscalerepresentationoftheimagesbasedonprogressivebackwardclustering
AT vyutsviatkou segmentationandcompactmultiscalerepresentationoftheimagesbasedonprogressivebackwardclustering
AT egmakeichik segmentationandcompactmultiscalerepresentationoftheimagesbasedonprogressivebackwardclustering
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