[1]魏世超 段先华 夏加星.基于Sobel算子和局部能量的图像融合新算法[J].计算机技术与发展,2012,(04):61-64.
　WEI Shi-chao,DUAN Xian-hua,XIA Jia-xing.Novel Image Fusion Algorithm Based on Sobel Operator and Region Energy[J].,2012,(04):61-64.
点击复制

基于Sobel算子和局部能量的图像融合新算法()
分享到：

《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2012年04期
页码:
61-64
栏目:
智能、算法、系统工程
出版日期:
1900-01-01

文章信息/Info

Title:
Novel Image Fusion Algorithm Based on Sobel Operator and Region Energy
文章编号:
1673-629X（2012）04-0061-04
作者:
魏世超 段先华 夏加星
江苏科技大学计算机科学与工程学院
Author(s):
WEI Shi-chao; DUAN Xian-hua; XIA Jia-xing
College of Computer Science and Engineering,Jiangsu University of Science and Technology
关键词:
图像融合; 小波变换; Sobel算子; 局部能量; 一致性检验
Keywords:
image fusion;  wavelet transform;  Sobel operator;  region energy;  consistency checking
分类号:
TP391
文献标志码:
A
摘要:
文中提出一种新的基于小波变换的图像融合算法,以提高图像融合质量。首先应用小波变换将图像分为高频和低频部分,再对小波的高频和低频系数采用融合算法进行处理,最终将处理后的高频和低频小波系数进行融合。文中对低频系数采用基于Sobel算子的方法,有效保留边缘特征。对高频系数采用基于局部能量取大准则,有效保留高频的细节和区域特征。为了抑制噪声和控制图像的不稳定性,最后再对低频和高频系数的选择结果进行邻域窗口的一致性检验与调整。与传统金字塔方法和经典小波变换相比较,实验结果表明此方法融合效果较好
Abstract:
An new image fusion algorithm based on wavelet transform was proposed to promote the image fusion quality.Decompose the image into high-frequency part and low-frequency part by wavelet transform firstly,then process the high-frequency part and low-frequency part using fusion algorithm,finally fuse the processed high-frequency coefficients and low-frequency coefficients.When choosing the low-frequency coefficient,the method which used is based on Sobel operator,retain the edge characteristics effectively.The high-frequency coefficients are selected with region energy which is maximum,so that retain details and area characteristics effectively.In order to overcome the presence of noise and control of image instability,all the coefficients are subsequently performed by a window-based consistency verification process.Compared with traditional pyramid method and classical wavelet transform,the experimental results show that the fusion rule of proposed method is effective

相似文献/References:

[1]刘会英 张政保 文家福 李占德.一种带纠错编码的小波域自适应盲水印算法[J].计算机技术与发展,2010,(03):140.
　LIU Hui-ying,ZHANG Zheng-bao,WEN Jia-fu,et al.A Wavelet Domain Adaptive Blind Watermarking Algorithm with Error Correcting Encoding[J].,2010,(04):140.
[2]冉柯柯 王继成.基于比值法图像拼接的等比例改进算法[J].计算机技术与发展,2010,(02):5.
　RAN Ke-ke,WANG Ji-cheng.An Improved Mosaic Algorithm Based on Ratio Matching Using Geometric Proportion[J].,2010,(04):5.
[3]焦晶萍 廖文和 沈建新.一种基于模板匹配法的眼底图像拼接方法[J].计算机技术与发展,2010,(04):148.
　JIAO Jing-ping,LIAO Wen-he,SHEN Jian-xin.A Fundus Image Mosaic Method Based on Template Matching[J].,2010,(04):148.
[4]郭航宇 景晓军 尚勇.基于小波变换和数学形态法的车牌定位方法研究[J].计算机技术与发展,2010,(05):13.
　GUO Hang-yu,JING Xiao-jun,SHANG Yong.License Plate Location Method Based on Wavelet Transform and Mathematical Morphology[J].,2010,(04):13.
[5]玄立超 谢亦才.一种新的基于Curvelet变换的遥感图像融合算法[J].计算机技术与发展,2009,(05):119.
　XUAN Li-chao,XIE Yi-cai.A New Remote Sensing Image Fusion Algorithm Based on Curvelet Transform[J].,2009,(04):119.
[6]钱颖雪 左洪福 李耀华.小波与傅里叶变换耦合的静电监测信号去噪法[J].计算机技术与发展,2009,(07):1.
　QIAN Ying-xue,ZUO Hong-fu,LI Yao-hua.Static Monitoring Signal De- noising by Wavelet and FFT[J].,2009,(04):1.
[7]赵兵.小波变换阈值降噪在电力负荷管理终端中的应用[J].计算机技术与发展,2009,(07):206.
　ZHAO Bing.Application of Wavelet Transform Threshold Noise Reduction in Load Management Terminal[J].,2009,(04):206.
[8]张登银 薄顺荣 许扬扬.边缘检测算法改进及其在QoE测定中的应用[J].计算机技术与发展,2009,(08):49.
　ZHANG Deng-yin,BO Shun-rong,XU Yang-yang.Improved Image Edge Detection Algorithm and Its Application in QoE Measurement[J].,2009,(04):49.
[9]朱良燕 毛军军 苗强 吴涛[].合肥市降水变化趋势分形特征分析与预测[J].计算机技术与发展,2009,(09):17.
　ZHU Liang-yan,MAO Jun-jun,MIAO Qiang,et al.Analysis of Precipitation Changes Trend Fractal Features and Forecasts in Hefei[J].,2009,(04):17.
[10]王树梅 王志成 蔡健.一种基于灰度形态学的小波域边缘检测算法[J].计算机技术与发展,2009,(01):32.
　WANG Shu-mei,WANG Zhi-cheng,CAI Jian.A Novel Edge- Detection Algorithm in Wavelet Gray - Scale Morphology[J].,2009,(04):32.
[11]杨亚 王铮 张素兰 郭飞飞.基于小波变换的多聚焦图像融合[J].计算机技术与发展,2010,(03):56.
　YANG Ya,WANG Zheng,ZHANG Su-lan,et al.Multi - focus Image Fusion Scheme Based on Wavelet Transform[J].,2010,(04):56.
[12]刘凯峰 张德祥.基于小波变换区域方差的遥感图像融合新算法[J].计算机技术与发展,2007,(05):177.
　LIU Kai-feng,ZHANG De-xiang.A New Fusion Algorithm of Remote Sensing Image Based on Local Deviation of Wavelet Transform[J].,2007,(04):177.
[13]何 笑,吐尔洪江·阿布都克力木,贺 欢.基于小波变换的水下鱼群图像增强算法[J].计算机技术与发展,2020,30(09):77.[doi:10. 3969 / j. issn. 1673-629X. 2020. 09. 014]
　HE Xiao,Turgunjan ABDUKIRIM,HE Huan.Image Enhancement Algorithm for Underwater Fish Shoal Based on Wavelet Transform[J].,2020,30(04):77.[doi:10. 3969 / j. issn. 1673-629X. 2020. 09. 014]

备注/Memo

备注/Memo:
江苏省自然科学基金（BK2008411）魏世超（1984-），男，河北石家庄人，硕士研究生，研究领域为图像处理；段先华，教授，博士，研究领域为图像处理、模式识别等
更新日期/Last Update: 1900-01-01