• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

MAC:静磁有源轮廓模型。

MAC: magnetostatic active contour model.

作者信息

Xie Xianghua, Mirmehdi Majid

机构信息

Department of Computer Science, University of Wales-Swansea, Singleton Park, Swansea, UK.

出版信息

IEEE Trans Pattern Anal Mach Intell. 2008 Apr;30(4):632-46. doi: 10.1109/TPAMI.2007.70737.

DOI:10.1109/TPAMI.2007.70737
PMID:18276969
Abstract

We propose an active contour model using an external force field that is based on magnetostatics and hypothesized magnetic interactions between the active contour and object boundaries. The major contribution of the method is that the interaction of its forces can greatly improve the active contour in capturing complex geometries and dealing with difficult initializations, weak edges and broken boundaries. The proposed method is shown to achieve significant improvements when compared against six well-known and state-of-the-art shape recovery methods, including the geodesic snake, the generalized version of GVF snake, the combined geodesic and GVF snake, and the charged particle model.

摘要

我们提出了一种基于静磁学的外力场主动轮廓模型,并假设了主动轮廓与物体边界之间的磁相互作用。该方法的主要贡献在于其力的相互作用能够在捕捉复杂几何形状以及处理困难的初始化、弱边缘和断裂边界时极大地改进主动轮廓。与六种著名的、当前最先进的形状恢复方法相比,包括测地线蛇形模型、广义GVF蛇形模型、组合测地线和GVF蛇形模型以及带电粒子模型,所提出的方法显示出显著的改进。

相似文献

1
MAC: magnetostatic active contour model.MAC:静磁有源轮廓模型。
IEEE Trans Pattern Anal Mach Intell. 2008 Apr;30(4):632-46. doi: 10.1109/TPAMI.2007.70737.
2
Automated optic disk boundary detection by modified active contour model.基于改进活动轮廓模型的自动视盘边界检测
IEEE Trans Biomed Eng. 2007 Mar;54(3):473-82. doi: 10.1109/TBME.2006.888831.
3
Automatic active model initialization via Poisson inverse gradient.通过泊松逆梯度实现自动主动模型初始化
IEEE Trans Image Process. 2008 Aug;17(8):1406-20. doi: 10.1109/TIP.2008.925375.
4
Region competition based active contour for medical object extraction.基于区域竞争的主动轮廓模型用于医学目标提取。
Comput Med Imaging Graph. 2008 Mar;32(2):109-17. doi: 10.1016/j.compmedimag.2007.10.004.
5
Influence of the noise model on level set active contour segmentation.噪声模型对水平集活动轮廓分割的影响。
IEEE Trans Pattern Anal Mach Intell. 2004 Jun;26(6):799-803. doi: 10.1109/TPAMI.2004.11.
6
[Segmental active contour model combining regional information].结合区域信息的分段主动轮廓模型
Sheng Wu Yi Xue Gong Cheng Xue Za Zhi. 2006 Dec;23(6):1166-71.
7
Dynamic shape and appearance models.动态形状与外观模型
IEEE Trans Pattern Anal Mach Intell. 2006 Dec;28(12):2006-19. doi: 10.1109/TPAMI.2006.243.
8
Self-repelling snakes for topology-preserving segmentation models.用于拓扑保持分割模型的自排斥蛇形算法
IEEE Trans Image Process. 2008 May;17(5):767-79. doi: 10.1109/TIP.2008.919951.
9
Metamorphs: deformable shape and appearance models.变形体:可变形的形状和外观模型。
IEEE Trans Pattern Anal Mach Intell. 2008 Aug;30(8):1444-59. doi: 10.1109/TPAMI.2007.70795.
10
Principal axes estimation using the vibration modes of physics-based deformable models.使用基于物理的可变形模型的振动模式进行主轴估计。
IEEE Trans Image Process. 2008 Jun;17(6):1007-19. doi: 10.1109/TIP.2008.922415.

引用本文的文献

1
Physics informed contour selection for rapid image segmentation.用于快速图像分割的物理信息轮廓选择
Sci Rep. 2024 Mar 24;14(1):6996. doi: 10.1038/s41598-024-57281-x.
2
A radiological image analysis framework for early screening of the COVID-19 infection: A computer vision-based approach.一种用于COVID-19感染早期筛查的放射图像分析框架:基于计算机视觉的方法。
Appl Soft Comput. 2022 Apr;119:108528. doi: 10.1016/j.asoc.2022.108528. Epub 2022 Feb 3.
3
A Novel Gradient Vector Flow Snake Model Based on Convex Function for Infrared Image Segmentation.
一种基于凸函数的新型梯度向量流蛇模型用于红外图像分割。
Sensors (Basel). 2016 Oct 21;16(10):1756. doi: 10.3390/s16101756.
4
Robust Nucleus/Cell Detection and Segmentation in Digital Pathology and Microscopy Images: A Comprehensive Review.在数字病理学和显微镜图像中进行稳健的细胞核/细胞检测和分割:全面综述。
IEEE Rev Biomed Eng. 2016;9:234-63. doi: 10.1109/RBME.2016.2515127. Epub 2016 Jan 6.
5
Vesselness-guided Active Contour: A Coronary Vessel Extraction Method.血管性引导的活动轮廓:一种冠状动脉提取方法。
J Med Signals Sens. 2014 Apr;4(2):150-7.
6
A Cell Derived Active Contour (CDAC) method for robust tracking in low frame rate, low contrast phase microscopy - an example: the human hNT astrocyte.一种用于低帧率、低对比度相显微镜中稳健跟踪的细胞衍生主动轮廓(CDAC)方法——一个例子:人hNT星形胶质细胞。
PLoS One. 2013 Dec 17;8(12):e82883. doi: 10.1371/journal.pone.0082883. eCollection 2013.
7
Improved algorithm for gradient vector flow based active contour model using global and local information.基于全局和局部信息的改进型梯度向量流主动轮廓模型算法
ScientificWorldJournal. 2013 Sep 24;2013:479675. doi: 10.1155/2013/479675. eCollection 2013.
8
Brain extraction from cerebral MRI volume using a hybrid level set based active contour neighborhood model.基于混合水平集的主动轮廓邻域模型从脑 MRI 体数据中提取脑区。
Biomed Eng Online. 2013 Apr 12;12:31. doi: 10.1186/1475-925X-12-31.