主成分分析
小波
像素
人工智能
图像融合
计算机视觉
图像(数学)
组分(热力学)
计算机科学
模式识别(心理学)
融合
数学
物理
语言学
热力学
哲学
作者
Vps Naidu,Jitendra R. Raol
出处
期刊:Defence Science Journal
[Defence Scientific Information and Documentation Centre]
日期:2008-05-24
卷期号:58 (3): 338-352
被引量:397
摘要
Image registration and fusion are of great importance in defence and civilian sectors, e.g. , recognising a ground/air force vehicle and medical imaging. Pixel-level image fusion using wavelets and principal13; component analysis has been implemented and demonstrated in PC MATLAB. Different performance metrics with and without reference image are implemented to evaluate the performance of image fusion algorithms. As expected, the simple averaging fusion algorithm shows degraded13; performance. The ringing tone presented in the fused image can be avoided using wavelets with shift invariant property. It has been concluded that image fusion using wavelets with higher level of decomposition showed better performance in some metrics and in other metrics, principal components analysis showed better performance.13;
科研通智能强力驱动
Strongly Powered by AbleSci AI