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Shift Detection by Restoration

机译:通过恢复进行移位检测

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摘要

In this paper an approach is presented for robust shift detection of two given images. The new unifying idea is that we determine a shifted delta implse using some well-known restoration techniques, e.g. the Wiener filtering, constraint restoration, entropy restoration, and Baysian restoration. The used restoration techniques imply the robustness of the presented method. Our approach is a generalization of the matched filter ing approach. Additionally, we describe in the paper the problem of calculating an evaluation measure of the restored delta impulse image. This measure is the basis for the uncertainty of the detected shift. The unifying approach of shift detection by restoration (SDR-method) could be tested successfully, for example using a series of fundus image pairs which are of practical interest and which contain also small rotations, scalings and even deformations.
机译:本文提出了一种对两个给定图像进行鲁棒移位检测的方法。新的统一思想是,我们使用一些众所周知的恢复技术(例如,维纳滤波,约束恢复,熵恢复和贝叶斯恢复。使用的恢复技术暗示了所提出方法的鲁棒性。我们的方法是匹配滤波方法的概括。另外,我们在本文中描述了计算恢复的增量脉冲图像的评估指标的问题。此度量是检测到的偏移的不确定性的基础。可以通过使用一系列眼底图像对成功地测试通过恢复进行位移检测的统一方法(SDR方法),这对眼底图像对具有实际意义,并且还包含较小的旋转,缩放比例甚至变形。

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