首页> 外文会议>International Congress on High-Speed Photography and Photonics >The application of the multi-scale GVF model based on the B-spline lifting Wavelet in medical images segmentation
【24h】

The application of the multi-scale GVF model based on the B-spline lifting Wavelet in medical images segmentation

机译:基于B样条升降小波在医学图像分割中的多尺度GVF模型应用

获取原文

摘要

Snakes, or active contours, are used extensively in computer vision and image processing application, particularly to locate object boundaries. GVF (Gradient Vector Flow) model has resolved two key problems of the traditional deformable model. However, it still requires both the initial contour being close to the target and a large amount of computation. And it is difficult to process the cupped target edge. This paper analysis the characteristics of deformable model firstly, then proposed a new method based on B-spline lifting wavelet. Experimentations based on GVF model and MRI segmentation show that the proposed method is a good resolution to the initialization sensitivity and the large computation.
机译:蛇或活动轮廓,广泛用于计算机视觉和图像处理应用,尤其是定位对象边界。 GVF(梯度矢量流量)模型已解决传统可变形模型的两个关键问题。 然而,它仍然需要初始轮廓靠近目标和大量计算。 并且难以处理杯状目标边缘。 本文分析了可变形模型的特点首先,提出了一种基于B样条升降小波的新方法。 基于GVF模型和MRI分段的实验表明,该方法是初始化灵敏度和大计算的良好分辨率。

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