MCIR: A Multi-modal Image Registration Algorithm Based on Membrane Computing

Zhilv Gao, Chengfang Zhang
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引用次数: 4

Abstract

In order to realize the rapid and exact image registration, a multi-modal image registration algorithm under the framework of membrane computing is proposed in this paper, which is named as MCIR algorithm. First, a cell-like P system of membrane structure is designed. Each object in membranes represents a group of transform parameters of floated images. All objects are constantly evolved by the group intelligent algorithm, which obtains the best parameters and transforms them into upper-layer membrane. At the same time, the best objects between the same layers transport randomly in the process of evolution. Finally, the global optimal object is stored in the skin membrane. The proposed MCIR algorithm is evaluated on the multi-modal image, such as the computer tomography (CT) images of the brain, the visible images, and the thermal infrared images. Our algorithm is superior to other methods in terms of properties of global convergence and obtains better registration accuracy and robustness.
基于膜计算的多模态图像配准算法
为了实现快速准确的图像配准,本文提出了一种膜计算框架下的多模态图像配准算法,称为MCIR算法。首先,设计了膜结构的类细胞P体系。膜中的每个对象代表一组浮动图像的变换参数。通过群体智能算法对所有目标进行不断演化,得到最优参数并将其转化为上层膜。同时,同一层间的最佳目标在演化过程中会随机迁移。最后,将全局最优目标存储在皮肤膜中。提出的MCIR算法在多模态图像上进行了评估,如大脑的计算机断层扫描(CT)图像、可见光图像和热红外图像。该算法在全局收敛性方面优于其他方法,具有更好的配准精度和鲁棒性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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