Research on Medical Image Fusion Algorithms Based on Nonsubsampled Contourlet

被引：0

作者：

Long, Junyu ^{[1
]}

Yu, Hong ^{[1
]}

Yu, Aiming ^{[1
]}

机构：

[1] Guangdong Vocat Inst Technol, Zhuhai 519090, Guangdong, Peoples R China

来源：

PROCEEDINGS OF INTERNATIONAL CONFERENCE ON SOFT COMPUTING TECHNIQUES AND ENGINEERING APPLICATION, ICSCTEA 2013 | 2014年 / 250卷

关键词：

NSCT; Image fusion; Regional energy; Regional variance; Medical image; TRANSFORM;

D O I：

10.1007/978-81-322-1695-7_64

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Aiming at the characters of the computer tomography (CT) and Magnetic Resonance Imaging (MRI) medical images, on the basis of nonsubsampled contourlet transform (NSCT) algorithm, an image fusion algorithm on which the low-frequency coefficients are fused on the basis of the largest regional energy and the high-frequency coefficients are fused on the basis of the largest regional variance is proposed. Experiments show that this algorithm can achieve better effects than other image fusion algorithms.

引用

页码：543 / 551

页数：9

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