Adaptive two-threshold quantization and image segmentation based on the splitting and merging areas
Abstract
The results of evaluating the effectiveness of the adaptive two-threshold quantization in comparison with one-threshold quantization for segmentation of gray-scale images using a modified method of separation and merging of areas based on progressive backward clustering are presented.
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
V. K. Kanapelka
Белорусский государственный университет информатики и радиоэлектроники
Belarus
Belarus
O. V. Guseva
Белорусский государственный университет информатики и радиоэлектроники
Belarus
Belarus
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Review
For citations:
Almiahi O.M., Tsviatkou V.Yu., Kanapelka V.K., Guseva O.V. Adaptive two-threshold quantization and image segmentation based on the splitting and merging areas. Doklady BGUIR. 2016;(7):183-187. (In Russ.)
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