多光谱皮肤图像的配准方法

R. Kadikis
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引用次数: 0

摘要

提出了一种基于特征的多光谱皮肤图像配准方法。该方法允许使用和组合不同类型的特征点,可以适应不同的应用。利用局部极小值和局部极大值作为皮肤图像的特征。该方法通过分析参考图像和感测图像中所有可能的特征点之间的移位,有效地找到这些图像之间的平移。该方法也扩展到确定旋转和尺度。通过在一组多光谱皮肤图像上进行测试,将所提出的方法与其他基于区域和特征的方法(文献中专门针对皮肤图像提出的方法)进行比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Registration method for multispectral skin images
A feature-based image registration method is presented for the use on the multispectral skin images. The proposed method allows the use and combination of different kinds of feature points, so it can be adjusted to different applications. The local minima and maxima are used as features for the skin images. By analyzing all possible shifts among feature points in the reference and sensed images, the proposed method efficiently finds translation among these images. The method is expanded to also determine rotation and scale. The proposed method is compared with other area-based and feature-based methods (proposed in the literature specifically for skin images) by testing those methods on a set of multispectral skin images.
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