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Feature-based image processing using feature images extracted from different iterations

机译:使用从不同的迭代中提取的特征图像的基于特征的图像处理

摘要

Image processing performed by a computer (22) includes iterative image reconstruction or refinement (26, 56) that produces a series of update images ending in an iteratively reconstructed or refined image. A difference image (34, 64) is computed between a first update image (30, 60) and a second update image (32, 62) of the series. The difference image is converted to a feature image (40) and is used in the iterative processing (26, 56) or in post-processing (44) performed on the iteratively reconstructed or refined images or images from different reconstruction or refinement techniques. In another embodiment, first and second image reconstructions (81, 83) are performed to generate respective first and second reconstructed images (80, 82). A difference image (84) is computed between two images each selected from the group: the first reconstructed image, an update image of the first reconstruction, the second reconstructed image, and an update image of the second reconstruction. A feature image is generated from the difference image and used to combine the first and second reconstructed images.
机译:由计算机执行的图像处理( 22 )包括迭代图像重建或细化( 26,56 ),其产生以迭代重建或精制图像结尾的一系列更新图像。在第一更新图像( 30,60 )和第二更新图像( 32,62 之间,计算差异图像( 34,64,64 ) )系列。将差异图像转换为特征图像( 40 ),并用于迭代处理( 26,56 )或后处理( 44 )在来自不同重建或细化技术的迭代重构或精制图像或图像上进行。在另一个实施例中,执行第一和第二图像重建( 81,83 以生成相应的第一和第二重建图像( 80,82 )。在每个选自组中选择的两个图像之间计算差异图像( 84 ):第一重建图像,第一重建的更新图像,第二重建图像和第二重建的更新图像。从差异图像生成特征图像,并用于组合第一和第二重建图像。

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