Algorithm of Medical Image Fusion based on Laplasse Pyramid and PCA

2nd International Symposium on Application of Materials Science and Energy Materials

材料科学;能源学

Zhu, Yaling^1 ; Zhou, Xiuyuan^1 ; Li, Xiangwei^1 ; Zhang, Ruimin^1

College of Software Engineering, Lanzhou Institute of Technology, Lanzhou, GanSu, China^1

关键词: Average gradient;    Fused images;    High frequency HF;    Low-frequency;    Method of images;    Principal Components;    Pyramid images;    Simple-PCA;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/490/4/042030/pdf
DOI  :  10.1088/1757-899X/490/4/042030

学科分类：材料科学（综合）

来源: IOP

【 摘 要 】

The paper firstly expounds the principle and method of image fusion of Gauss Pyramid, Laplasse Pyramid and principal component transform. After that, it explains in detail that the image is decomposed by Laplasse and Pyramid, and then the image fusion is carried out by principal component analysis and average gradient method for high frequency part and low frequency part. Finally, Laplasse's inverse transform is used to get the final fused image. The algorithm is tested with medical images, and the effect of the algorithm is not very ideal, but it is more effective than the simple PCA and Laplasse Pyramid image fusion method.