首页> 外文会议>Conference on LIDAR Imaging Detection and Target Recognition >Tissues segmentation based on multi spectral medical images
【24h】

Tissues segmentation based on multi spectral medical images

机译:基于多光谱医学图像的组织分割

获取原文

摘要

Each band image contains the most obvious tissue feature according to the optical characteristics of different tissues in different specific bands for multispectral medical images. In this paper, the tissues were segmented by their spectral information at each multispectral medical images. Four Local Binary Patter descriptors were constructed to extract blood vessels based on the gray difference between the blood vessels and their neighbors. The segmented tissue in each band image was merged to a clear image.
机译:根据多光谱医学图像在不同特定波段中不同组织的光学特性,每个波段图像都包含最明显的组织特征。在本文中,通过每个多光谱医学图像上的光谱信息对组织进行了分割。构造了四个“本地二进制模式”描述符以根据血管及其邻居之间的灰色差异提取血管。每个带状图像中的分割组织都合并为清晰图像。

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