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首页> 外文期刊>Procedia Computer Science >Graph Matching Approach between Endoscope Images for Non-Rigid Motion using Blood Vessel Structure
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Graph Matching Approach between Endoscope Images for Non-Rigid Motion using Blood Vessel Structure

机译:使用血管结构的非刚性运动内窥镜图像匹配方法

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摘要

It is important to estimate the size and shape of the polyp from endoscope images in the medical diagnosis. Ref.[1] was proposed as a method to estimate the absolute size of the polyp, where movement of endoscope in depth direction was estimated from two endoscope images. Ref.[1] introduced template matching using blood vessel to determine the correspondence between two images. However, it is not appropriate for actual endoscope environment since actual motion includes not only the camera transition but also the camera rotation. Further object motion is non-rigid motion and it is difficult to determine correct correspondence points between two images. So, this paper proposes a new approach to extract a blood vessel structure based on the blood vessel region using a graph structure, where the graph is matched between two images. Here, a matching method of blood vessels is described, where camera rotation and non-rigid motion of the target object are under consideration. Effectiveness of the proposed approach is confirmed in the experiments.
机译:重要的是要估计医学诊断中的内窥镜图像中息肉的大小和形状。参考[1]提出作为估计息肉的绝对尺寸的方法,其中从两个内窥镜图像估计内窥镜在深度方向上的移动。参考[1]使用血管介绍模板匹配以确定两个图像之间的对应关系。然而,由于实际运动不仅包括相机转换而且相机旋转,因此不适用于实际的内窥镜环境。进一步的对象运动是非刚性运动,并且难以确定两个图像之间的正确对应点。因此,本文提出了一种新方法来使用曲线结构基于血管区域提取血管结构的方法,其中图在两个图像之间匹配。这里,描述了血管的匹配方法,其中正在考虑目标对象的相机旋转和非刚性运动。在实验中确认了所提出方法的有效性。

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