基于空间连通性特征的多层图像分割

Q4 Engineering

Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska Pub Date : 2023-09-30 DOI:10.35784/iapgos.5352

Leonid Timchenko, Natalia Kokriatskaya, Volodymyr Tverdomed, Oleksandr Stetsenko, Valentina Kaplun, Oleg K. Kolesnytskyj, Oleksandr Reshetnik, Saule Smailova, Ulzhalgas Zhunissova

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引用次数: 0

摘要

本文旨在研究基于空间连通性特征的任意配置和放置图像的多级分割过程。分析了现有的图像处理算法，确定了它们的优缺点。提出了一种组织多阶半色调图像分割过程的方法，并根据该方法给出了动作算法。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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SEGMENTATION OF MULTIGRADATION IMAGES BASED ON SPATIAL CONNECTIVITY FEATURES

The article aims to study the multi-level segmentation process of images of arbitrary configuration and placement based on features of spatial connectivity. Existing image processing algorithms are analyzed, and their advantages and disadvantages are determined. A method of organizing the process of segmentation of multi-gradation halftone images is developed and an algorithm of actions according to the described method is given.

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来源期刊

Informatyka Automatyka Pomiary w Gospodarce i Ochronie Srodowiska

CiteScore

0.90

自引率

0.00%

发文量

审稿时长

10 weeks