Sonar image segmentation based on GMRF and level-set models

Xiu-Fen Ye; rnZhe-Hui Zhang; rnPeter X. Liu; rnHong-Ling Guan

首页> 外文期刊>Ocean Engineering >Sonar image segmentation based on GMRF and level-set models

【24h】

Sonar image segmentation based on GMRF and level-set models

机译：基于GMRF和水平集模型的声纳图像分割

获取原文

获取原文并翻译 | 示例

掌桥外文数据库（机构版） >>

开具论文收录证明 >>

文献代查 >>

页面导航

摘要
著录项
相似文献
相关主题

摘要

We propose two new level-set models to address the segmentation problem in sonar images. Local texture features, extracted using the Gauss-Markov random field model, are integrated into level-set energy functions to dynamically select regions of interest. Then, new two-phase level-set and multiphase level-set models are obtained by minimizing each new energy function, and the selection of model parameters is analyzed. The proposed models do not require re-initialization, which is usually a very costly procedure. Segmentation experiments on both synthetic and real sonar images show that the proposed two level-set models are accurate and robust when they are applied to noisy sonar images.

机译：我们提出了两个新的水平集模型来解决声纳图像中的分割问题。使用高斯-马尔可夫随机场模型提取的局部纹理特征被集成到水平集能量函数中，以动态选择感兴趣的区域。然后，通过最小化每个新的能量函数，获得新的两相水平集和多相水平集模型，并分析模型参数的选择。提出的模型不需要重新初始化，这通常是非常昂贵的过程。对合成声纳图像和真实声纳图像进行的分割实验表明，将所提出的两个水平集模型应用于嘈杂声纳图像时，它们是准确且稳健的。

著录项

来源
《Ocean Engineering》 |2010年第10期|P.891-901|共11页
作者
Xiu-Fen Ye; rnZhe-Hui Zhang; rnPeter X. Liu; rnHong-Ling Guan;
展开▼
作者单位

College of Automation, Harbin Engineering University, Harbin, Heilongjiang 150001, PR China;

rnCollege of Automation, Harbin Engineering University, Harbin, Heilongjiang 150001, PR China;

rnDepartment of Systems and Computer Engineering, Carleton University, Ottawa, ON, Canada K1S 5B6;

rnCollege of Automation, Harbin Engineering University, Harbin, Heilongjiang 150001, PR China;

展开▼
收录信息
原文格式 PDF
正文语种 eng
中图分类
关键词
sonar image; CMRF; level set; segmentation;

机译：声纳图像CMRF;水平设置;分割;

相似文献

外文文献
中文文献
专利

1. An efficient texture image segmentation algorithm based on the GMRF model for classification of remotely sensed imagery [J] . Y. LI, P. GONG International journal of remote sensing . 2005,第22期

机译：基于GMRF模型的高效纹理图像分割算法。
2. Unspervised Segmentation of Colored Texture Images by Using Multiple GMRF Models and a Hypothesis of Merging Primitives [J] . Tomio Echigo, Shun-ichi Iisaku Systems and Computers in Japan . 2000,第2期

机译：使用多个GMRF模型的无监督分割彩色纹理图像和合并原语的假设
3. A fully automated and reproducible level-set segmentation approach for generation of MR-based attenuation correction map of PET images in the brain employing single STE-MR imaging modality [J] . Anahita Fathi Kazerooni, Mohammad Hadi Aarabi, Mohammadreza Ay, EJNMMI Physics . 2014,第S1期

机译：全自动和可再现的水平集分割方法，用于使用单个STE-MR成像方式在大脑中生成基于MR的PET图像的衰减校正图
4. A level-set model driven by Bidimensional EMD for sonar image segmentation [C] . Ye Xiufen, Wang Lei, Wang Tian, 2011 IEEE International Conference on Mechatronics and Automation . 2011

机译：二维EMD驱动的声纳图像分割水平集模型
5. Segmentation and surface-based modeling of objects in three-dimensional biomedical images. [D] . Kalvin, Alan David. 1991

机译：三维生物医学图像中对象的分割和基于表面的建模。
6. A fully automated and reproducible level-set segmentation approach for generation of MR-based attenuation correction map of PET images in the brain employing single STE-MR imaging modality [O] . Anahita Fathi Kazerooni, Mohammad Hadi Aarabi, Mohammadreza Ay, 2014

机译：全自动和可再现的水平集分割方法用于使用单个STE-MR成像方式在大脑中生成基于MR的PET图像的衰减校正图
7. FLIR image segmentation based on DA-GMRF model [O] . Qi L(亓琳), Shi ZL(史泽林) 2007

机译：基于DA-GMRF模型的FLIR图像分割

Sonar image segmentation based on GMRF and level-set models

摘要

著录项

相似文献

相关主题

期刊订阅