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首页> 外文期刊>Physics in medicine and biology. >Image resampling effects in mammographic image simulation.
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Image resampling effects in mammographic image simulation.

机译：乳腺X线摄影图像模拟中的图像重采样效果。

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摘要

This work describes the theory of resampling effects within the context of image simulation for mammographic images. The process of digitization associated with using digital imaging technology needs to be correctly addressed in any image simulation process. Failure to do so can lead to overblurring in the final synthetic image. A method for weighted neighbourhood averaging is described for non-integer scaling factors in resampling images. The use of the method is demonstrated by comparing simulated and real images of an edge test object acquired on two clinical mammography systems. Images were simulated using two setups: from idealized images and from images obtained with clinical systems. A Gaussian interpolation method is proposed as a single-step solution to modelling blurring filters for the simulation process.
机译：这项工作描述了在乳腺X线照片图像模拟的背景下重采样效果的理论。在任何图像仿真过程中，都需要正确解决与使用数字成像技术相关的数字化过程。否则，可能会导致最终合成图像过度模糊。描述了一种用于重采样图像中非整数比例因子的加权邻域平均方法。通过比较在两个临床乳房X线照相系统上获取的边缘测试对象的模拟图像和真实图像，证明了该方法的使用。使用两种设置对图像进行了模拟：理想化图像和临床系统获得的图像。提出了一种高斯插值方法，作为针对模糊过程建模的单步解决方案。

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