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Subpixel detection of the center of an object using a spectral phase algorithm on the image

机译:使用光谱相位算法对图像进行对象中心的亚像素检测

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摘要

This paper presents an algorithm designed for detecting the center of an object with central symmetry in an image. It is well known that the spectral phase of such an object is a plane whose orientation depends on the object position in the image. Our algorithm applies weighting of the moduli to determine the slope and the orientation of this wrapped phase plane in the image spectrum. A comparison is made with other conventional methods and shows the advantages of this algorithm: subpixel resolution, computing speed, ease of implementation. (C) 1998 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved. [References: 15]
机译:本文提出了一种算法,用于检测图像中具有中心对称性的对象的中心。众所周知,这种物体的光谱相位是一个平面,其取向取决于图像中物体的位置。我们的算法应用模权重来确定图像光谱中此包裹相位平面的斜率和方向。与其他常规方法进行了比较,显示了该算法的优点:亚像素分辨率,计算速度,易于实现。 (C)1998模式识别学会。由Elsevier Science Ltd.出版。保留所有权利。 [参考:15]

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