对虚拟人图像数据作多种二维处理，包括图像几何变换、灰度增强、格式转换和压缩、图像配准和分割。
Many methods are used to finish VCH planar image processing, including image geometry transform, gray-scale enhancement format transition and compression , image registration and segmentation.
配准问题的目的就是将同一场景的不同图像对齐或匹配，消除存在的几何畸变。
Basically, the goal of image registration is to align images of same scene by removal of the potential geometrical distortion existed.
图像配准的目的是建立两幅图像间的几何变换关系，去除或减小两幅图像的几何畸变，从而实现图像的几何校正。
The major purpose of registration is to establish geometric transformation between two images, and remove or suppress the geometric distortions between them.
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