Computer Science ›› 2014, Vol. 41 ›› Issue (Z6): 122-124.

Previous Articles     Next Articles

Application Research on Comparability Matching for Image-Data Based on Enhanced SIFT Algorithm

ZHANG De-quan and DONG Shi-cun   

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

Abstract: For the deficiencies on efficiency and accuracy of the SIFT(Scale Invariant Feature Transform)algorithm,improvement was made by two ways,in which one is to reduce the overlap computation on major direction and generation of description,and the other is to shrink the search coverage of feature point match.The experiment on the match of moon image database gives a preferable result,in which the real-time performance and matching accuracy are improved.

Key words: Scale invariant feature transform(SIFT) feature point,Image matching,Feature extraction

[1] 贾博,姜挺,郭丽,等.SIFT和相关系数在嫦娥一号月球影像匹配中的应用[J].测绘科学技术学报,2009,26(5):363-366
[2] 李晓明.基于SIFT特征的遥感影像自动匹配[D].北京:北京理工大学机电工程学院,2006
[3] 甘哑莉.频率域基于梯度预处理的互相关图像匹配方法[D].长沙:国防科技大学信息系统与管理学院,2007
[4] 许晓帆,杜江.面向景象匹配辅助导航的SIFT图像配准算法[J].电子设计工程,2013,21(18):139-141
[5] 李彤斐,杨马英.足球机器人视觉目标识别的PCA-SIFT算法[J].江南大学学报:自然科学版,2013,12(5):601-606
[6] Lowe D G.Object recognition from local scale-invariant features[C]∥International Conference on Computer Vision,Corfu,Greece(September 1999).1999:1150-1157
[7] Lowe D G.Distinctive image features from scale invariant key points[J].International Journal of Computer Vision,2004,60(2):91-110
[8] 王国美.SIFT特征匹配算法研究[D].贵阳:贵州大学计算机学院,2007
[9] Ke Y,Sukthankar R.Pca-sift:a more distinctive representation for local image descriptors[C]∥Computer Vision and Pattern Recognition.2004
[10] Ledwich L,Williams S.Reduced SIFT Features for Image Retrieval and Indoo Localization[C]∥Australian Conference on Robotics and Automation.Canberra,Australia,2004
[11] 叶波,陆雪松,张素,等.基于互信息图像匹配中的局部极值问题研究[D].上海:上海交通大学生物医学仪器研究所,2007

No related articles found!
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!