...
  • 主题
高级搜索  >
历史搜索 清空历史
首页> 外文期刊>Signal processing >Modified localized graph cuts based active contour model for local segmentation with surrounding nearby clutter and intensity inhomogeneity
【24h】

Modified localized graph cuts based active contour model for local segmentation with surrounding nearby clutter and intensity inhomogeneity

机译：改进的基于局部图割的主动轮廓模型用于周围区域附近杂波和强度不均匀的局部分割

获取原文
获取原文并翻译 | 示例
           
页面导航
  • 摘要
  • 著录项
  • 相似文献
  • 相关主题

摘要

Graph cuts based active contour models (GCACMs) have been widely used in image segmentation for global minimization and efficient calculation. For local segmentation, the localized GCACMs (LGCACMs) have been proposed by reformulating GCACMs in a narrow band. However, the existing LGCACMs cannot deal with local segmentation with surrounding nearby clutter and intensity inhomogeneity. In this paper, a modified LGCACM (MLGCACM) with a new narrow band energy function is proposed to solve local segmentation in the presence of surrounding nearby clutter and intensity inhomogeneity. Firstly, by removing the region term in the narrow band energy function, the narrow band graph can be constructed without t-links, in which case, local segmentation with surrounding nearby clutter can be solved. Secondly, by strengthening the edge term in the narrow band energy function with a new local region term, the n-links in the narrow band graph can be weighted more suitably for local segmentation with intensity inhomogeneity. Experiments on synthetic and medical images demonstrate the advantages of the proposed MLGCACM over the existing LGCACMs in local segmentation with surrounding nearby clutter and intensity inhomogeneity.
机译：基于图割的主动轮廓模型（GCACM）已广泛用于图像分割中，以实现全局最小化和高效计算。对于局部分割，已经提出了通过在窄带中重新形成GCACM来实现局部GCACM（LGCACM）的方法。但是，现有的LGCACM无法处理周围附近的杂波和强度不均匀的局部分割。本文提出了一种具有新的窄带能量函数的改进的LGCACM（MLGCACM），以解决周围周围杂波和强度不均匀情况下的局部分割问题。首先，通过去除窄带能量函数中的区域项，可以构建没有t链的窄带图，在这种情况下，可以解决周围周围杂波的局部分割。其次，通过使用新的局部区域项增强窄带能量函数中的边缘项，可以更适当地对窄带图中的n-link进行加权，以进行强度不均匀的局部分割。在合成图像和医学图像上进行的实验证明，与周围的周围杂波和强度不均匀性相比，所提出的MLGCACM优于现有的LGCACM。

著录项

  • 来源
    《Signal processing》 |2013年第4期|961-966|共6页
  • 作者

    Qiang Zheng; Enqing Dong; Zhulou Cao; Wenyan Sun; Zhenguo Li;

  • 作者单位

    School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, Weihai 264209, China;

    School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, Weihai 264209, China;

    School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, Weihai 264209, China;

    School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, Weihai 264209, China;

    School of Mechanical, Electrical & Information Engineering, Shandong University, Weihai, Weihai 264209, China;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    image segmentation; active contour; graph cuts;

    机译：图像分割活动轮廓图切;

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱：kefu@zhangqiaokeyan.com

京公网安备：11010802029741号 ICP备案号：京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有

  • 客服微信

  • 服务号