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采用尺度不变特征和区域选择的图像配准方法
Alternative TitleImage registration method based on region selection and scale-invariant feature
李小昌; 朱丹
Department光电信息技术研究室
Source Publication红外与激光工程
ISSN1007-2276
2012
Volume41Issue:2Pages:537-542
Indexed ByEI ; CSCD
EI Accession number20121514940949
CSCD IDCSCD:4495396
Contribution Rank1
Keyword特征点 Surf 区域选择 图像熵 图像配准
Abstract提出了一种改进的尺度不变特征点的图像配准方法。该方法在SURF算法的基础上使用图像的熵来对匹配图像作特征检测区域选择,建立特征点筛选机制来从初步的特征检测中得到最显著的特征点,以控制特征点的数目来减少后继的计算量和算法性能。同时改进了SURF的特征描述方法的计算过程,提出了一种改进的特征描述方法。实验表明,该方法在提高算法性能的同时,明显改进了特征点的匹配率。
Other AbstractAn improved scale invariant feature extraction method based on speed-up robust feature(SURF) algorithm was proposed.The SURF algorithm was a time-consuming computation,using fast-Hessian detector,which was a differential operator,to get the interest points.Because the statistical property of the image(like image entropy) could present the information abundance,the image could be divided into blocks,to estimate the interest point distribution using the image entropy.The block which had higher image entropy had more interest points.By selecting the image block with higher image entropy to extract the SURF interest point,the computation time can be reduced.Then the SURF feature point orientation computation method was and refined the feature descriptor was improved.The experimental results show that the algorithm is faster than SURF,and has better correct match rate. 更多
Language中文
Citation statistics
Cited Times:7[CSCD]   [CSCD Record]
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/10041
Collection光电信息技术研究室
Affiliation1.中国科学院研究生院
2.中国科学院沈阳自动化研究所
3.中国科学院光电信息处理重点实验室
4.辽宁省图像理解与视觉计算重点实验室
Recommended Citation
GB/T 7714
李小昌,朱丹. 采用尺度不变特征和区域选择的图像配准方法[J]. 红外与激光工程,2012,41(2):537-542.
APA 李小昌,&朱丹.(2012).采用尺度不变特征和区域选择的图像配准方法.红外与激光工程,41(2),537-542.
MLA 李小昌,et al."采用尺度不变特征和区域选择的图像配准方法".红外与激光工程 41.2(2012):537-542.
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