图像配准
计算机科学
观点
人工智能
计算机视觉
相互信息
MATLAB语言
图像处理
特征(语言学)
数字图像处理
图像(数学)
模式识别(心理学)
哲学
艺术
视觉艺术
操作系统
语言学
作者
S. Karthick,S. P. Maniraj
标识
DOI:10.2174/1573405614666180905094032
摘要
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.
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