Karthick Suyambu, Maniraj S
Department of Electronics & Communication Engineering, Satyam College of Engineering and Technology, Kanyakumari, Tamil Nadu, India.
Department of Computer Science Engineering, Anna University, Chennai, India.
Curr Med Imaging Rev. 2019;15(10):911-921. doi: 10.2174/1573405614666180905094032.
Image registration provides major role in real world applications and classic digital image processing. Image registration is carried out for more than one image and this image was captured from a different location, different sensors, different time and different viewpoints.
This paper deals with the comparative analysis of various registration techniques and here six registration techniques depending upon intensity, phase correlation, image feature, area, control points and mutual information are compared. Comparative analysis for different methodologies shows the advantages of one method over the other methods. The foremost objective of this paper is to deliver a complete reference source for the scholars interested in registration, irrespective of specific application extents.
Finally performance analyses are evaluated for the medical datasets and comparison is graphically shown with the MATLAB simulation tool.
图像配准在现实世界应用和经典数字图像处理中发挥着重要作用。图像配准针对多幅图像进行，这些图像是从不同位置、不同传感器、不同时间和不同视角获取的。
本文对各种配准技术进行了比较分析，比较了基于强度、相位相关、图像特征、区域、控制点和互信息的六种配准技术。不同方法的比较分析显示了一种方法相对于其他方法的优势。本文的首要目标是为对配准感兴趣的学者提供一个完整的参考源，而不考虑具体的应用范围。
最后对医学数据集进行了性能分析，并使用MATLAB仿真工具以图形方式展示了比较结果。
