An image processor implementing algorithms using characteristics of phase spectrum of two-dimensional Fourier transformation
An image processor implementing algorithms using characteristics of phase spectrum of two-dimensional Fourier transformation
复制标题
一种利用二维傅里叶变换相位谱特性实现算法的图像处理器
DOI：
10.1109/isie.1999.796870
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发表时间：
1999
期刊：
影响因子：
--
通讯作者：
K. Kobayashi
中科院分区：
文献类型：
--
作者：
M. Morikawa;A. Katsumata;K. Kobayashi
一系列新的图像处理算法正在出现，这些算法特别关注从二维傅里叶变换获得的相位分量的特性。纯相位相关（POC）是最基本的相关技术，它具有上级分辨能力强、鲁棒性好和百分之一级亚像素分辨率等特点。该算法的应用范围从测量目标的位移、旋转和距离，以及检测图像上的划痕或污点。在本文中，我们讨论了一个图像处理器，执行算法的速度足够快的实时图像处理应用程序。处理器在27.15 ms内执行256/spl次/256像素的POC。
A series of new image processing algorithms are emerging which specifically focuses on the characteristics of the phase components obtained from two-dimensional Fourier transformation. Phase only correlation (POC) is the most fundamental one, and its features include superior discrimination capability over the ordinary correlation, robustness, and one hundredth grade sub-pixel resolution. Applications of the algorithms range from measurements of displacement, rotation, and distance of a target, and detection of scratches or stains on an image. In this paper, we discuss an image processor that executes the algorithms at the speed fast enough for real-time image processing applications. The processor executes 256/spl times/256 pixels POC in 27.15 ms.