首页> 外文会议>International Conference on Biomedical and Biological Engineering >Liver Vessel Segmentation Algorithm Based on Fuzzy Enhance and Hessian Matrix
【24h】

Liver Vessel Segmentation Algorithm Based on Fuzzy Enhance and Hessian Matrix

机译:基于模糊增强和Hessian矩阵的肝血管分割算法

获取原文

摘要

This paper proposes a liver vessel segmentation algorithm based on fuzzy enhancement and Hessian matrix. First, a method with two steps based on the theory of fuzzy enhancement is proposed to enhance the liver image. The first enhancement step is to make the local changes in the image more obvious on the basis of fully retaining the image details. The second enhancement step is to enhance the edges by a sharpening parameter and a correction factor on the basis of the enhancement result gained by the first step, and so that the vessel areas in the image will be more obvious. Then the Hessian method is used to extract the vessel areas. Experiments show that the proposed method can segment the liver vessels accurately with a certain practicability and operability.
机译:本文提出了一种基于模糊增强和Hessian矩阵的肝脏血管分割算法。首先,提出了一种基于模糊增强理论的步骤的方法,以增强肝脏图像。第一增强步骤是在完全保留图像细节的基础上使图像中的局部变化更加明显。第二增强步骤是基于第一步所获得的增强结果,通过锐化参数和校正因子来增强边缘,使得图像中的血管区域将更加明显。然后,Hessian方法用于提取血管区域。实验表明,该方法可以以某种实用性和可操作性精确地将肝脏血管分段。

著录项

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