首页> 外文会议>Image Processing (ICIP 2009), 2009 >Shape prior criterion based on Tchebichef moments in variational region growing
【24h】

Shape prior criterion based on Tchebichef moments in variational region growing

机译:基于Tchebichef矩的变分区域增长中的形状先验准则

获取原文

摘要

Region growing has become a popular method for 3D segmentation. Starting from a seed, this approach allows one to extract a region by merging all its neighbors and comparing the extracted region to a reference. Here, we present an alternative approach to constrain the evolution of the region growing method in respect to a fixed reference shape. This approach is based on a shape description by the Tchebichef moments. The evolution equation minimizes a function that represents the distance between the evolving region and the reference shape. Experimental results show the ability of our method to drive the segmentation towards a desired shape in 2D and 3D data. Finally, we apply our shape prior conjointly to a bimodal segmentation functional, showing its benefits on segmentation results.
机译:区域增长已成为3D分割的一种流行方法。从种子开始,此方法允许人们通过合并所有邻居并将其与参考进行比较来提取区域。在这里,我们提出了一种替代方法来限制相对于固定参考形状的区域生长方法的演化。此方法基于Tchebichef矩的形状描述。演化方程将表示演化区域和参考形状之间距离的函数最小化。实验结果表明,我们的方法具有将细分驱动到2D和3D数据中所需形状的能力。最后,我们将形状预先联合应用于双峰分割函数,以显示其对分割结果的好处。

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