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首页> 外文会议>Conference on Signal and Data Processing of Small Targets 2002, Apr 2-4, 2002, Orlando, USA >Image registration techniques for multimodal sensors
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Image registration techniques for multimodal sensors

机译：多模式传感器的图像配准技术

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摘要

Image registration refers to the problem of spatially aligning two or more images. A challenging problem in this area is the registration of images obtained by different types of sensors. In general such images have different gray level characteristics and commonly used techniques such as those based on area correlations cannot be applied directly. On the other hand, contours representing the region boundaries are preserved in most cases. Therefore, contour based registration techniques are applicable to multimodal sensors. In this paper, various registration techniques based on subband decomposition and projection along x and y directions are introduced. The effect of binarization is investigated. Unknown translation and scaling parameters are computed using cross-correlation methods over the projections. Performance of the algorithms is compared.
机译：图像配准是指在空间上对齐两个或更多图像的问题。在该领域中的挑战性问题是由不同类型的传感器获得的图像的配准。通常，这样的图像具有不同的灰度特性，并且不能直接应用诸如基于面积相关性的那些常用技术。另一方面，在大多数情况下会保留代表区域边界的轮廓。因此，基于轮廓的配准技术适用于多模式传感器。本文介绍了基于子带分解和沿x和y方向投影的各种配准技术。研究二值化的效果。使用投影上的互相关方法来计算未知的平移和缩放参数。比较算法的性能。

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