Quammen Cory, Taylor Russell M
Insight J. 2010 Jun 30:1-8.
The image registration framework in the Insight Tookit offers a powerful body of code for finding the optimal spatial transform that registers one image with another. However, ITK currently lacks a way to fit parametric models of image pixel values to an input image. Such a capability is necessary in certain applications such as sub-resolution localization of molecules in fluorescence microscopy. This document describes new classes that enable the use of the registration framework to provide this capability. We describe a new base class, itk::ParametricImageSource, that defines an interface for parametric image sources. An adapter class itk::ImageToParametricImageSourceMetric that enables itk::ParametricImageSources to be hooked into the registration framework is also described. An example adapter class that enables the existing itk::GaussianImageSource to be used for image fitting is presented, and we demonstrate use of the classes by fitting a 2D Gaussian function to an image generated by the itk::GaussianImageSource class.
Insight Toolkit中的图像配准框架提供了强大的代码库，用于寻找将一幅图像与另一幅图像配准的最佳空间变换。然而，ITK目前缺乏一种将图像像素值的参数模型拟合到输入图像的方法。在某些应用中，如荧光显微镜中分子的亚分辨率定位，这种功能是必需的。本文档描述了一些新类，这些新类使得能够使用配准框架来提供此功能。我们描述了一个新的基类itk::ParametricImageSource，它定义了参数图像源的接口。还描述了一个适配器类itk::ImageToParametricImageSourceMetric，它使itk::ParametricImageSources能够接入配准框架。给出了一个示例适配器类，它使现有的itk::GaussianImageSource能够用于图像拟合，并且我们通过将二维高斯函数拟合到由itk::GaussianImageSource类生成的图像来演示这些类的用法。
