Stern Adrian, Kruchakov Inna, Yoavi Eitan, Kopeika Norman S
Ben-Gurion University of the Negev, Department of Electrical and Computer Engineering, Beer-Sheva, Israel.
Appl Opt. 2002 Apr 10;41(11):2164-71. doi: 10.1364/ao.41.002164.
Image motion causes a blur that changes features of objects and therefore complicates the task of automatic recognition. In this work we develop two recognition methods for motion-blurred images. For the first method we assume that the motion function and direction during the exposure are given. We develop the relation between the blurred-image moments and the original-image moments based on the motion function only. The recognition is carried out by comparing the moments of the restored image against the moments of the image database. In the second method the motion function is not known. In this case image moments that are invariant with respect to the motion blur are identified, and only these moments are used for recognition. The advantage of the suggested methods is that no time-consuming image restoration is required prior to recognition.
图像运动导致模糊，这会改变物体的特征，从而使自动识别任务变得复杂。在这项工作中，我们开发了两种用于运动模糊图像的识别方法。对于第一种方法，我们假设曝光期间的运动函数和方向是已知的。我们仅基于运动函数建立模糊图像矩与原始图像矩之间的关系。通过将恢复图像的矩与图像数据库的矩进行比较来进行识别。在第二种方法中，运动函数未知。在这种情况下，识别出对运动模糊不变的图像矩，并且仅使用这些矩进行识别。所提出方法的优点是在识别之前不需要耗时的图像恢复。
