Hybrid Active Contour Driven by Double-Weighted Signed Pressure Force for Image Segmentation

Xingyu Fu, Bin Fang, Mingliang Zhou, Jiajun Li
{"title":"Hybrid Active Contour Driven by Double-Weighted Signed Pressure Force for Image Segmentation","authors":"Xingyu Fu, Bin Fang, Mingliang Zhou, Jiajun Li","doi":"10.1109/ICASSP40776.2020.9054627","DOIUrl":null,"url":null,"abstract":"In this paper, we proposed a novel hybrid active contour driven by double-weighted signed pressure force method for image segmentation. First, the Legendre polynomials and global information are integrated into the signed pressure force (SPF) function and a coefficient is applied to weight the effect degrees of the Legendre term and global term. Second, by introducing a weighted factor as the coefficient of inside and outside region fitting center, the curve can be optimally evolved to the interior and branches of the region of interest (ROI). Third, a new edge stopping function is adopted to robustly capture the edge of ROI and speed up the multi-object image segmentation. Experiments show that the proposed method can achieve better accuracy for images with noise, inhomogeneous intensity, blur edge and complex branches, in the meanwhile, it also controls the time-consuming effectively and is insensitive to the initial contour position.","PeriodicalId":13127,"journal":{"name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","volume":"4 1","pages":"2463-2467"},"PeriodicalIF":0.0000,"publicationDate":"2020-05-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICASSP40776.2020.9054627","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In this paper, we proposed a novel hybrid active contour driven by double-weighted signed pressure force method for image segmentation. First, the Legendre polynomials and global information are integrated into the signed pressure force (SPF) function and a coefficient is applied to weight the effect degrees of the Legendre term and global term. Second, by introducing a weighted factor as the coefficient of inside and outside region fitting center, the curve can be optimally evolved to the interior and branches of the region of interest (ROI). Third, a new edge stopping function is adopted to robustly capture the edge of ROI and speed up the multi-object image segmentation. Experiments show that the proposed method can achieve better accuracy for images with noise, inhomogeneous intensity, blur edge and complex branches, in the meanwhile, it also controls the time-consuming effectively and is insensitive to the initial contour position.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
双加权签名压力驱动的混合主动轮廓图像分割
本文提出了一种基于双加权签名压力力驱动的混合主动轮廓分割方法。首先,将Legendre多项式和全局信息集成到签名压力(SPF)函数中,并采用系数对Legendre项和全局项的影响程度进行加权。其次,通过引入加权因子作为区域内外拟合中心的系数,使曲线最优演化到感兴趣区域的内部和分支;第三,采用一种新的边缘停止函数,鲁棒地捕获感兴趣区域的边缘,加快多目标图像分割速度。实验表明,该方法对噪声、强度不均匀、边缘模糊和分支复杂的图像具有较好的精度,同时有效地控制了算法的耗时,对初始轮廓位置不敏感。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Theoretical Analysis of Multi-Carrier Agile Phased Array Radar Paco and Paco-Dct: Patch Consensus and Its Application To Inpainting Array-Geometry-Aware Spatial Active Noise Control Based on Direction-of-Arrival Weighting Neural Network Wiretap Code Design for Multi-Mode Fiber Optical Channels Distributed Non-Orthogonal Pilot Design for Multi-Cell Massive Mimo Systems
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1