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.
Main Authors: | , , , |
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Format: | Article |
Language: | Russian |
Published: |
Educational institution «Belarusian State University of Informatics and Radioelectronics»
2019-06-01
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Series: | Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki |
Subjects: | |
Online Access: | https://doklady.bsuir.by/jour/article/view/756 |