SEGMENTATION AND COMPACT MULTISCALE REPRESENTATION OF THE IMAGES BASED ON PROGRESSIVE BACKWARD CLUSTERING
Abstract
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.
About the Authors
O. M. Almiahi
Белорусский государственный университет информатики и радиоэлектроники
Belarus
Belarus
V. Yu. Tsviatkou
Белорусский государственный университет информатики и радиоэлектроники
Belarus
Belarus
E. G. Makeichik
Белорусский государственный университет информатики и радиоэлектроники
Belarus
Belarus
References
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Review
For citations:
Almiahi O.M., Tsviatkou V.Yu., Makeichik E.G. SEGMENTATION AND COMPACT MULTISCALE REPRESENTATION OF THE IMAGES BASED ON PROGRESSIVE BACKWARD CLUSTERING. Doklady BGUIR. 2015;(6):48-54. (In Russ.)
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