【24h】

RETINAL ANGIOGRAM REGISTRATION BY ESTIMATION OF DISTRIBUTION ALGORITHM

机译:估计分布算法的视网膜血管图配准

获取原文
获取原文并翻译 | 示例

摘要

Retinal fundus photographs are employed as standard diagnostic tools in ophthalmology. We employ optimization techniques for registration of retinal angiograms, using non-linear pre-processing (Wiener filtering and morphological gradient) and computation of a similarity criterion. The present work makes a comparison between different optimization techniques, namely the optical flow minimization method, the Nelder-Mead local search, the CEDA and CHEDA metaheuristics. The impact of the resolution and median filtering of gradient image is studied and the robustness of the approaches is tested through experimental studies, performed on ICG angiographies. Our proposed method has shown interesting results, especially for high resolution registration problems.
机译:眼底照片被用作眼科的标准诊断工具。我们使用非线性预处理(维纳滤波和形态梯度)和相似性标准的计算来优化视网膜血管造影的配准技术。本工作在不同的优化技术之间进行了比较,这些技术分别是光流最小化方法,Nelder-Mead局部搜索,CEDA和CHEDA元启发式算法。研究了分辨率和梯度图像中值滤波的影响,并通过在ICG血管造影术上进行的实验研究测试了方法的鲁棒性。我们提出的方法已显示出有趣的结果,尤其是对于高分辨率配准问题。

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