文件名称:IterativeClosestPoint1
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PointSet-to-PointSet配准是医学图像分析中的一个普遍问题。通常建立在点从图像中提
取出来并用于建立图像之间的空间通信。这种配准类型被看做是基于配准特征的最简单情
况。在一般情况下,到目前为止,基于配准的特征是我们介绍的更加有效的表示亮度的方法。然而,基于配准的特征产生了从图像中确定和提取特征的新问题,这也是一个很大的挑战。-PointSet-to-PointSet registration is a common problem in medical image analysis. It usually
arises in cases where landmarks are extracted from images and are used for establishing the
spatial correspondence between the images. This type of registration can be considered to be
the simplest case of feature-based registration. In general terms, feature-based registration is
more efficient than the intensity based method that we have presented so far. However, feature-base registration brings the new problem of identifying andextracting the features from the
images, which is not a minor challenge.
取出来并用于建立图像之间的空间通信。这种配准类型被看做是基于配准特征的最简单情
况。在一般情况下,到目前为止,基于配准的特征是我们介绍的更加有效的表示亮度的方法。然而,基于配准的特征产生了从图像中确定和提取特征的新问题,这也是一个很大的挑战。-PointSet-to-PointSet registration is a common problem in medical image analysis. It usually
arises in cases where landmarks are extracted from images and are used for establishing the
spatial correspondence between the images. This type of registration can be considered to be
the simplest case of feature-based registration. In general terms, feature-based registration is
more efficient than the intensity based method that we have presented so far. However, feature-base registration brings the new problem of identifying andextracting the features from the
images, which is not a minor challenge.
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IterativeClosestPoint1.cxx