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首页> 外文会议>International Workshop on Computer Vision for Biomedical Image Applications(CVBIA 2005); 20051021; Beijing(CN) >Deformable Registration for Generating Dissection Image of an Intestine from Annular Image Sequence
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Deformable Registration for Generating Dissection Image of an Intestine from Annular Image Sequence

机译：从环形图像序列生成肠道解剖图像的可变形配准

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摘要

Examination inside an intestine by an endoscope is difficult and time consuming, because the whole image of the intestine cannot be taken at one time due to the limited field of view. Thus, it is necessary to generate a dissection image, which can be obtained by extending the image of an intestine. We acquire an annular image sequence with an omnidirectional or wide-angle camera, and then generate the dissection image by mosaicing the image sequence. Though usual mosaicing techniques transform an image by perspective or affine transformations, these are not suitable for our situation because the target object is a generalized cylinder and the camera motion is unknown a priori. Therefore, we propose a novel approach for image registration that deforms images by a two-dimensional-polynomial function which parameters are estimated from optical flow. We evaluated our method by registering annular image sequences and we successfully generated dissection images, as presented in this paper.
机译：用内窥镜在肠内进行检查是困难且耗时的，因为由于视野有限，无法一次获取肠的整个图像。因此，有必要产生解剖图像，该解剖图像可以通过扩展肠的图像获得。我们使用全向或广角相机获取环形图像序列，然后通过拼接图像序列生成解剖图像。尽管通常的镶嵌技术通过透视图或仿射变换来变换图像，但这些方法不适用于我们的情况，因为目标对象是广义圆柱体，并且摄像机的先验运动是未知的。因此，我们提出了一种新颖的图像配准方法，该方法通过二维多项式函数使图像变形，该二维多项式函数的参数是根据光流估算的。我们通过注册环形图像序列评估了我们的方法，并成功生成了解剖图像，如本文所述。

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