A Comparative study between Contourlet and Wavelet Transform for Medical Image Registration and Fusion

被引：0

作者：

Akshata, M. ^{[1
]}

Aparna, B., V ^{[1
]}

Donthi, Sathyasri ^{[1
]}

Jain, Nupur ^{[1
]}

Chakrasali, Saritha ^{[1
]}

机构：

[1] BNM Inst Technol, Dept Informat Sci & Engn, Bengaluru 560070, India

来源：

INTERNATIONAL JOURNAL OF COMPUTER SCIENCE AND NETWORK SECURITY | 2016年 / 16卷 / 05期

关键词：

Contourlet Transform; Registration; Fusion; Entropy; Mutual Information; Wavelet Transform;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Medical Image Registration and Fusion provide effective information in the field of medicine due to which it is used by the specialists for diagnosis. Previously this has been done using Wavelet Transform which does not capture the directionality and smooth contours that are predominantly present in medical images. Contourlet Transform is an emerging transform and it overcomes the above mentioned disadvantages of wavelets to a great extent. This paper aims at registration and fusion of mono modal and multimodal medical images using Contourlet Transform. A comparative analysis has been made in this paper between the Wavelet and Contourlet transform for medical image registration and fusion.

引用

页码：102 / 108

页数：7

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