基于改进的区域生长法与引导滤波的图像融合  

Image Fusion Based on Improved Region Growing and Guided Filtering

作　　者：巩稼民[1] 刘尚辉 金库 刘海洋 魏戌盟 Gong Jiamin;Liu Shanghui;Jin Ku;Liu Haiyang;Wei Xumeng(School of Modern Post,Xi’an University of Posts and Telecommunications,Xi’an 710061,Shaanxi,China;School of Communication and Information Engineering,Xi’an University of Posts and Telecommunications,Xi’an 710121,Shaanxi,China)

机构地区：[1]西安邮电大学现代邮政学院,陕西西安710061 [2]西安邮电大学通信与信息工程学院,陕西西安710121

出　　处：《激光与光电子学进展》2023年第16期148-155,共8页Laser & Optoelectronics Progress

基　　金：国家自然科学基金(61775180);国际科技合作计划项目陕西省重点研发计划(2020KWZ-017)。

摘　　要：针对红外与可见光图像融合算法中存在的目标提取不充分、细节丢失等问题,提出一种基于改进的区域生长法(IRG)与引导滤波的红外与可见光图像融合方法。首先对红外图像使用IRG进行目标提取,然后对红外和可见光图像使用非下采样剪切波变换(NSST),并对所得低频与高频分量进行引导滤波,由滤波后的红外和可见光低频分量通过基于IRG的融合规则得到低频融合系数,由增强的高频分量经过双通道脉冲发放皮层模型(DCSCM)得到高频融合系数,最后经NSST逆变换得到融合图像。用主观评价和6种常用客观评价指标对融合图像进行评估。实验结果表明,所提算法的融合图像目标突出、背景信息清晰、细节保留能力强,在主观和客观评价上均有明显优势。Aiming at the problems of insufficient target extraction and loss of details in infrared and visible image fusion algorithm,an infrared and visible image fusion method based on improved region growing method(IRG)and guided filtering is proposed.First,use IRG to extract targets from infrared images,then use NSST for infrared and visible images,and conduct guided filtering for the obtained low-frequency and high-frequency components.The filtered infrared and visible low-frequency components get low-frequency fusion coefficients through IRG based fusion rules,and the enhanced high-frequency components get high-frequency fusion coefficients through dual-channel spiking cortical model(DCSCM).Finally,the fused image is obtained by NSST inverse transform.The fused image is evaluated with subjective evaluation and 6 common objective evaluation indexes.The experimental results show that the proposed algorithm has obvious advantages in subjective and objective evaluation,such as prominent target,clear background information,strong detail retention ability.

关 键 词：图像处理 图像融合 改进的区域生长法 引导滤波 双通道脉冲发放皮层模型 非下采样Shearlet变换 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]