Medical Image Fusion using Transform Techniques

被引：0
|
作者：
Ashwanth, B. [1 ]
Swamy, K. Veera [1 ]
机构：
[1] Vasavi Coll Engn, ECE Dept, Hyderabad, India
来源：
2020 5TH INTERNATIONAL CONFERENCE ON DEVICES, CIRCUITS AND SYSTEMS (ICDCS' 20) | 2020年
关键词：
Image Fusion; DWT; SWT; Average and Maximum; Edge and Energy;
D O I：
10.1109/icdcs48716.2020.243604
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
Medical image fusion is a process of gathering relevant data information from two or more images, the important information from the images sources are taken which results in having better or more reliable medical image. The Paper present Medical image fusion in transform domain by using DWT(Discrete Wavelet Transform) and SWT(Stationary Wavelet Transform). The edge and energy rule for the decomposed bands of DWT, SWT based image fusion are performed. The new fusion rule gave better fused image. Entropy is used to assess the performance of the proposed algorithm. The two images (MRI, PET) are used for the fusion by using DWT, SWT by using the proposed algorithm edge and energy algorithm the decomposed band which contains higher information is present in the fused image.
引用
收藏
页码：303 / 306
页数：4
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