Computer Science ›› 2015, Vol. 42 ›› Issue (6): 57-60.doi: 10.11896/j.issn.1002-137X.2015.06.013

Previous Articles     Next Articles

Astronomical Image Registration Combining Information Entropy and SIFT Algorithm

YUE Xin, SHANG Zhen-hong, QIANG Zhen-ping, LIU Hui, FU Xiao-dong and ZHANG Zhi-hua   

  • Online:2018-11-14 Published:2018-11-14

Abstract: Astronomical image registration is a key technology of astronomical movement study,and often there is some slight irregular motion of internal structures in the image.However,in image registration the transformation of an entire image needs to be calcu lated.In this case,no matter whether registration is based on statistical characteristics or local features,it is difficult to achieve the desired results.On this basis,image is divided into several small squares firstly,and the entropy is calculated.Then square with maximum entropy is considered as the local sub-graph to register.Scale invariant feature transform and the affine transformation are used to establish relationships between local sub-graphs to complete image registration.On the one hand,this method can reduce the time of building transform relationship.On the other hand,it ensures the registration of the image area with maximum information entropy,and it also improves the registration quality of astronomical images effectively.

Key words: Entropy,SIFT algorithm,Evenly split,Affine transformation,Transform relation

[1] Zitova B,Flusser J.Image registration methods:a survey[J].Image and vision computing,2003,21(11):977-1000
[2] Lowe D G.Object recognition from local scale-invariant features[C]∥The proceedings of the seventh IEEE international conference on Computer Vision,1999.IEEE,1999,2:1150-1157
[3] Lowe D G.Distinctive image features from scale-invariant keypoints[J].International journal of computer vision,2004,60(2):91-110
[4] 王永明,王贵锦.图像局部不变性特征与描述[M].北京:国防工业出版社,2010 Wang Yong-ming,Wang Gui-jin.Image Local Invariant Features and Description[M].Beijing:National Defense Industry Press,2010
[5] Mikolajczyk K,Schmid C.A performance evaluation of local descriptors[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2005,27(10):1615-1630
[6] 周锋飞,陈卫东,李良福.一种基于区域生长的红外Z与可见光的图像融合方法[J].应用光学,2007,28(6):737-741 Zhou Feng-fei,Chen Wei-dong,Li Liang-fu.Fusion of IR and Visible Image Using Region Growing[J].Journal of Applied Opties,2007,28(6):737-741
[7] Zheng J,Tian J,Deng K,et al.Salient feature region:a new method for retinal image registration[J].IEEE Transactions on Information Technology in Biomedicine,2011,15(2):221-232
[8] 孟芳兵.一种基于最大区域熵值的图像融合方法[J].武汉理工大学学报:信息与管理工程版,2009,31(1):19-21 Meng Fang-bing.An Image Fusion Technique Based on the Maximum Region Entropy[J].Journal of WVT:Information & Management Engineering,2009,1(1):19-21
[9] Koenderink J J.The structure of images[J].Biological cyberneti-cs,1984,50(5):363-370
[10] Florack L M J,ter Haar Romeny B M,Koenderink J J,et al.Scale and the differential structure of images[J].Image and Vision Computing,1992,10(6):376-388
[11] Lindeberg T.Scale-space theory in computer vision[M].Sprin-ger,1993

No related articles found!
Full text



[1] LEI Li-hui and WANG Jing. Parallelization of LTL Model Checking Based on Possibility Measure[J]. Computer Science, 2018, 45(4): 71 -75, 88 .
[2] XIA Qing-xun and ZHUANG Yi. Remote Attestation Mechanism Based on Locality Principle[J]. Computer Science, 2018, 45(4): 148 -151, 162 .
[3] LI Bai-shen, LI Ling-zhi, SUN Yong and ZHU Yan-qin. Intranet Defense Algorithm Based on Pseudo Boosting Decision Tree[J]. Computer Science, 2018, 45(4): 157 -162 .
[4] WANG Huan, ZHANG Yun-feng and ZHANG Yan. Rapid Decision Method for Repairing Sequence Based on CFDs[J]. Computer Science, 2018, 45(3): 311 -316 .
[5] SUN Qi, JIN Yan, HE Kun and XU Ling-xuan. Hybrid Evolutionary Algorithm for Solving Mixed Capacitated General Routing Problem[J]. Computer Science, 2018, 45(4): 76 -82 .
[6] ZHANG Jia-nan and XIAO Ming-yu. Approximation Algorithm for Weighted Mixed Domination Problem[J]. Computer Science, 2018, 45(4): 83 -88 .
[7] WU Jian-hui, HUANG Zhong-xiang, LI Wu, WU Jian-hui, PENG Xin and ZHANG Sheng. Robustness Optimization of Sequence Decision in Urban Road Construction[J]. Computer Science, 2018, 45(4): 89 -93 .
[8] LIU Qin. Study on Data Quality Based on Constraint in Computer Forensics[J]. Computer Science, 2018, 45(4): 169 -172 .
[9] ZHONG Fei and YANG Bin. License Plate Detection Based on Principal Component Analysis Network[J]. Computer Science, 2018, 45(3): 268 -273 .
[10] SHI Wen-jun, WU Ji-gang and LUO Yu-chun. Fast and Efficient Scheduling Algorithms for Mobile Cloud Offloading[J]. Computer Science, 2018, 45(4): 94 -99, 116 .