Texture image segmentation based on estimation of density of contour elements and absorption of small regions
Texture image segmentation method based on estimation of density of contour elements and absorption of small regions, providing an increase in the accuracy in the selection of texture regions in the images to the specification of their boundaries is proposed.
Main Authors: | H. M. Alzakki, V. Yu. Tsviatkou |
---|---|
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/876 |
Similar Items
-
Texture image segmentation based on geometric classification and assessment density of contour elements
by: H. M. Alzakki, et al.
Published: (2019-06-01) -
Neutrosophic Set Transformation Matrix Factorization Based Active Contours for Color Texture Segmentation
by: Yongsheng Dong, et al.
Published: (2019-01-01) -
CANTOR PROCESSING OF TEXTURE IMAGES
by: H.M. ALZAKKI
Published: (2015-12-01) -
Texture-and-Shape Based Active Contour Model for Insulator Segmentation
by: Yajie Yu, et al.
Published: (2019-01-01) -
B-Spline Active Contour with Handling of Topology Changes for Fast Video Segmentation
by: Frederic Precioso, et al.
Published: (2002-06-01)