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《Laser Technology》 2013-05
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Application of improved wavelet transform algorithm in image fusion

GAO Ying1,WANG A-min1,WANG Feng-hua1,GUO Shu-xia2(1.School of Marine Engineering,Northwestern Polytechnical University,Xi’an 710072,China;2.Science and Technology on UAV Laboratory,Northwestern Polytechnical University,Xi’an 710065,China)  
In order to overcome the defects of fuzzy detection,low recognition rate and poor real-time of traditional fusion methods used in precision-guided weapons systems,a new image fusion algorithm was proposed combining wavelet transform with Canny operator.Firstly,the source image was decomposed into 3 layers in vertical and horizontal directions,which are suitable for image reconstruction;then due to its own characteristics of the different frequency components,an unique fusion rule was used to change wavelet coefficients of images,that is,for the low frequency components,the weighted average fusion algorithm was adopted,and for the high-frequency components,wavelet coefficients were changed using Canny operator and the local area variance criteria method.Finally,images were reconstructed using the inverse wavelet transform for different components.Results show the improved method not only reduces the fuzziness of edge,highlights target color,gets better visual effects,but also makes computational efficiency high,real-time good,particularly can detect and recognize pretend targets.It has better theoretical research and application value.
【Fund】: 航天科技创新基金资助项目(CASC201102)
【CateGory Index】: TP391.41
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【Citations】
Chinese Journal Full-text Database 1 Hits
1 LIU Song-tao~1,ZHOU Xiao-dong~2 (1.Dept of Information & Comunication Engineering,Dalian Naral Academy,Dalian 116018;2.Naval Aeronautical Engineering Institute,Control Engineering Dept,Yantai 264001,China);Recent Development of Image Fusion Techniques[J];Laser & Infrared;2006-08
【Co-citations】
Chinese Journal Full-text Database 10 Hits
1 CHEN Chao①,JIANG Tao①②,LIU Xiang-lei①①Department of Remote Sensing Science and Technology,Geomatics College,ShanDong University of Science and Technology,ShanDong Qingdao 266510,China;②Laboratory of Fundamental Geographic Information and Digital Technology,Key Laboratory of ShanDong,ShanDong Qingdao 266510,China);Research on remote sensing image fusion methods based on tasseled cap transformation[J];Science of Surveying and Mapping;2009-03
2 ZHANG Xiong-mei1,LI Jun-shan1,YI Zhao-xiang1,ZHANG Tie-jun2(1.The Second Artillery Engineering College,Xi'an 710025,China;2.The Military Representative Office in Shanghai,Shanghai 200233,China);Image fusion based on nonsubsampled contourlet[J];Electronics Optics & Control;2008-07
3 LIU Jian-hua1,2(1.Spatial Information Research Center of Fujian Province,Fuzhou University,Fuzhou 350002,China;2.Key Laboratory of Spatial Data Mining & Information Sharing of Ministry of Education,Fuzhou 350002,China);A Comparative Study of Six Methods for the Fusion of QuickBird Multispectral and Pan Images in Consideration of Segmentation Effect[J];Remote Sensing for Land & Resources;2010-03
4 CHEN Chao~1 JIANG Tao~(1,2) YUE Yuanping~3 XU Xiuhao~3 (1 Department of Remote Sensing Science and Technology, College of Mapping and Engineering, Shandong University of Science and Technology, Qingdao, Shandong, 266510 2 Shandong Provincial Key Laboratory of Basic Geography and Digital Technology, Shandong University of Science and Technology, Qingdao, Shandong, 266510 3 No. 94362 of PLA, Chengyang District, Qingdao, Shandong);Remote Sensing Image Fusion Method at Picture Element Level[J];Land and Resources Informatization;2008-05
5 LIU Ying-hui,JIANG Wei,WEI Ge(School of Information Science and Engineering,Shandong University,Jinan 250100,China);PET/CT image fusion based on nonsubsampled contourlet transform[J];Optical Technique;2010-01
6 Su Yuanyuan1,Li Yingjie1,Zhou Zhifeng 2(1.Naval Aeronautical Engineering Institute,Qingdao Branch,Qingdao 266041,China; 2.CIGIS(CHINA)LIMITED,Beijing 100007,China);Remote sensing image fusion methods and their quality evaluation[J];Geotechnical Investigation & Surveying;2012-12
7 WANG Hui-ni1,2,LIU Hai-song1,2,DONG Sheng3,NI Wan-kui1,LIN Zhan-ju2(1.College of Geology Engineering and Geomatics,Changan University,Xi'an Shaanxi 710054,China;2.State Key Laboratory of Frozen Soil Engineering,Cold and Arid Regions Environmental and Engineering Research Institute,Lanzhou Gansu 730000,China;3.The College of Architecture and Civil Engineering,Beijing University of Technology,Beijing 100124,China);Processing Method of High Spatial Resolution Remote Sensing Data in Dynamic Monitoring the Thermokarst Lakes in the Tibetan Plateau[J];Journal of Glaciology and Geocryology;2013-01
8 ZHAO Yun-feng,YIN Yi-xin(School of Information Engineering,University of Science and Technology Beijing,Beijing,100083,China);Decision-level Fusion of Infrared and Visible Images for Face Recognition[J];Laser & Infrared;2008-06
9 ZHANG Yu1,FU Dong-mei1,LI Xiao-gang2,CHEN Chao3(1.School of Information Engineering,University of Science and Technology Beijing,Beijing 100083,China;2.School of Materal Engineering,University of Science and Technology Beijing,Beijing 100083,China;3.Company of China Electronic System Facility Engineering,Beijing 100141,China);Method of Infrared and Visible Image Fusion Based on Multifeatures[J];Laser & Infrared;2008-12
10 ZHAO Gao-peng,BO Yu-ming,CHEN Yi Department of Automation,Nanjing University of Science and Technology,Nanjing 210094,China;Fusion algorithm for IR and visible images based on region segmentation[J];Computer Engineering and Applications;2009-26
【Secondary Citations】
Chinese Journal Full-text Database 6 Hits
1 NI Guo-qiang,DAI Wen,LI Yong-liang,PU Tian (Department of Optical Engineering, School of Information Science and Technology, Beijing Institute of Technology, Beijing100081, China);Visual/IR Color Image Fusion Based on Rattlesnake Bimodal Cell Neurodynamics: Advances and Prospects[J];Journal of Beijing Institute of Technology;2004-02
2 Li Qiu-hua Li Ji-cheng Shen Zhen-kang (The Key Laboratory for ATR in NUDT, ChangSha 410073, China);IR Target Detection Based on Multi-sensor Multi-level Information Fusion[J];Journal of Electronics and Information Technology;2004-11
3 CAO Zhi-guo, WANG Wen-wu (Key Laboratory of Ministry of Education for Image Processing and Intelligent Control, Institute for Pattern Recognition and Artificial Intelligence, Huazhong University of Science and Technology, Wuhan 430074, China);Image fusion algorithm based on statistical signal processing and fuzzy theory[J];Opto-electronic Engineering;2005-05
4 Miao Qiguang~1,2 Wang Baoshu11 School of Computer Science, Xidian University, Xi′an 7100712 Guilin University of Electronic Technology, Guilin 541004;Multi-Focus Image Fusion Based on Non-Negative Matrix Factorization[J];Acta Optica Sinica;2005-06
5 MA Zhiguo, WANG Jiangan, LEI Xuanhua, ZONG Siguang(Dept. of Weaponry Eng., Naval Univ. of Engineering, Wuhan 430033, China);Point Target Detection Based on Image Fusion of Two Infrared Bands[J];Laser & Infrared;2003-03
6 LIU Gang,JING Zhong-liang,SUN Shao-yuan (Institute of Aerospace Information and Control,School of Electronics and Information Technology,Shanghai Jiaotong University,Shanghai 200030,China);Image Fusion Scheme Based on Expectation Maximization[J];Laser & Infrared;2005-02
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