Improved BVF Snake Model for the Segmentation of an Image with Multiple Targets

原嫄 田
{"title":"Improved BVF Snake Model for the Segmentation of an Image with Multiple Targets","authors":"原嫄 田","doi":"10.12677/jisp.2023.123021","DOIUrl":null,"url":null,"abstract":"The parametric active contour model (Snake) has a wide range of applications in the field of computer vision and image processing. The traditional Snake model has many shortcomings, including high computational effort and failure to converge to the specific target when multiple targets exist. Although the boundary vector field (BVF) Snake reduces the computational intensity, it still fails to converge to the specific target when there are multiple targets. In this paper, the force field is in-spected to determine the reasons why the BVF Snake is not applicable to the segmentation of an image with multiple targets, and improvements are made to propose an improved directional BVF (DBVF) Snake model. In this model, a directional vector field is obtained by adding one point inside a specific target to determine the convergence direction of the Snake, so that it can converge to a specific target in the presence of multiple targets. In the paper, the DBVF Snake model is compared with the common Snake models in two aspects of increasing the capture range and adding different noises, and the sonar images are segmented and segmented results show that the DBVF Snake model is valid for the segmentation of an image with multiple targets.","PeriodicalId":69487,"journal":{"name":"图像与信号处理","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"图像与信号处理","FirstCategoryId":"1093","ListUrlMain":"https://doi.org/10.12677/jisp.2023.123021","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

The parametric active contour model (Snake) has a wide range of applications in the field of computer vision and image processing. The traditional Snake model has many shortcomings, including high computational effort and failure to converge to the specific target when multiple targets exist. Although the boundary vector field (BVF) Snake reduces the computational intensity, it still fails to converge to the specific target when there are multiple targets. In this paper, the force field is in-spected to determine the reasons why the BVF Snake is not applicable to the segmentation of an image with multiple targets, and improvements are made to propose an improved directional BVF (DBVF) Snake model. In this model, a directional vector field is obtained by adding one point inside a specific target to determine the convergence direction of the Snake, so that it can converge to a specific target in the presence of multiple targets. In the paper, the DBVF Snake model is compared with the common Snake models in two aspects of increasing the capture range and adding different noises, and the sonar images are segmented and segmented results show that the DBVF Snake model is valid for the segmentation of an image with multiple targets.
多目标图像分割的改进BVF Snake模型
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
154
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信