Adaptive two-threshold quantization and image segmentation based on the splitting and merging areas

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.

Bibliographic Details
Main Authors: O. M. Almiahi, V. Yu. Tsviatkou, V. K. Kanapelka, O. V. Guseva
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/756