航空红外和可见光图像的配准

Mingchao Sun, Bao Zhang, Jinghong Liu, Yongyang Wang, Quan Yang
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引用次数: 8

摘要

为了解决航拍图像融合中存在的不同源图像的配准问题,采用基于粒子群优化(PSO)的算法作为搜索策略,并采用对齐度量(AM)作为判断手段。本研究实现了红外与可见光不同源图像的高速、高精度、高可靠性配准。基本上,在不受灰度属性限制的情况下,采用了一种新的对齐方法,该方法既能有效地测量图像的配准程度,又能很好地容忍噪声。结合智能优化算法粒子群优化(PSO),提高了红外和可见光的配准精度和配准率。实验结果表明,该方法达到了像素级的配准精度,每次配准时间比传统方法缩短40%以上。基于AM的匹配算法解决了不同源图像在灰度和特征上存在较大差异的配准问题。同时,结合智能优化算法的采用显著提高了算法的搜索效率和收敛速度,配准结果具有更高的精度和稳定性,为不同源图像融合奠定了坚实的基础。该方法具有较好的效果,易于应用,非常适合工程应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The registration of aerial infrared and visible images
In order to solve the registration problem of different source image existed on aerial image fusion, algorithms based on Particle Swarm Optimization (PSO) are applied as search strategy in this paper, and Alignment Metric (AM) is used as judgment. This study has realized the different source image registration of infrared and visible light with high speed, high accuracy and high reliability. Basically, with little restriction of gray level properties, a new alignment measure is applied, which can efficiently measure the image registration extent and tolerate noise well. Even more, the intelligent optimization algorithm - Particle Swarm Optimization (PSO) is combined to improve the registration precision and rate of infrared and visible light. Experimental results indicate that, the study attains the registration accuracy of pixel level, and every registration time is cut down over 40 percent compared to traditional method. The match algorithm based on AM, solves the registration problem that greater differences between different source images are existed on gray and characteristic. At the same time, the adoption of combining the intelligent optimization algorithms significantly improves the searching efficiency and convergence speed of the algorithms, and the registration result has higher accuracy and stability, which builds up solid foundation for different source image fusion. The method in this paper has a magnificent effect, and is easy for application and very suitable for engineering use.
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