Image fusion based on object region detection and Non-Subsampled Contourlet Transform

被引：66

作者：

Meng, Fanjie ^{[1
]}

Song, Miao ^{[2
]}

Guo, Baolong ^{[1
]}

Shi, Ruixia ^{[1
]}

Shan, Dalong ^{[1
]}

机构：

[1] Xidian Univ, Inst Intelligent Control & Image Engn, Xian, Shaanxi, Peoples R China

[2] Neusoft Med Syst Co Ltd, Shenyang, Liaoning, Peoples R China

来源：

COMPUTERS & ELECTRICAL ENGINEERING | 2017年 / 62卷

基金：

中国国家自然科学基金;

关键词：

Image fusion; Object region detection; The Non-Subsampled Contourlet Transform; Fusion rule; DOMAIN;

D O I：

10.1016/j.compeleceng.2016.09.019

中图分类号：

TP3 [计算技术、计算机技术];

学科分类号：

0812 ;

摘要：

This paper presents a new fusion algorithm for infrared (IR) and visible light (ViS) images by combining object region detection with the Non-Subsampled Contourlet Transform (NSCT). First, the saliency map for the IR image is acquired with saliency detection. Second, the object region in the IR image is extracted by introducing a free regions removal method. Third, source images are decomposed via NSCT and different fusion rules for low frequency sub-bands and high frequency sub-bands are employed. Then, the primary fused image is generated by the inverse NSCT. Finally, integrating the primary fused image with the object region, the final fused image is obtained. By conducting experiments, we compare our method to others using several metrics and results show that the proposed method can improve the quality of the fused image. (C) 2016 Elsevier Ltd. All rights reserved.

引用

页码：375 / 383

页数：9

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