对比度增强技术对互信息图像配准的影响

Ibrahim Atli, A. Saracoglu, O. S. Gedik
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引用次数: 2

摘要

互信息(MI)是文献中多波段图像高效配准的主要方法之一。由于不同波段的图像通常以不同的位数表示,因此在基于mi的图像配准之前,对比度增强是不可避免的。虽然使用的对比度增强方法由于MI度量对配准性能有显著的影响,但这一问题在文献中没有得到充分的解决。本文研究了不同对比度增强方法对图像配准性能的影响。为此,使用了16位热成像和8位可见光波段卫星图像,并进行了蒙特卡罗测试。首先利用对比度增强方法对16位到8位的图像进行随机旋转和平移,然后尝试使用MI和多级别单链接(MLSL)优化算法对变换进行估计。结果表明,对比度增强方法对基于MI的图像配准有一定的影响。对比有限自适应直方图均衡化(CLAHE)和AHE方法具有最高的配准性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The effect of contrast enhancement techniques on mutual information based image registration
Mutual Information (MI) is one of the main methods for efficient registration of multiband images in the literature. Since images on different bands are often expressed in different numbers of bits, contrast enhancement is inevitable before MI-based image registration. Although the contrast enhancement method used has a significant effect on the registration performance due to MI metric, this problem is not sufficiently addressed in the literature. In this paper, the effect of the outstanding contrast enhancement methods is examined on image registration performance. For this purpose, 16-bit thermal and 8-bit visible band satellite images were used and Monte Carlo tests were performed. First, random rotation and translation is applied to the image which is converted from 16-bit to 8-bit by contrast enhancement methods, then the transformation is tried to be estimated with MI and Multi-Level Single-Linkage (MLSL) optimization algorithm. Consequently, it is found that contrast enhancement methods have an effect on MI based image registration. Contrast limited adaptive histogram equalization (CLAHE) and AHE methods have the highest registration performance according to the tests performed.
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