[1]马强,项昭保,黄良学,等. 基于改进SIFT和RANSAC图像拼接算法研究[J].计算机技术与发展,2016,26(04):61-65.
　MA Qiang,XIANG Zhao-bao,HUANG Liang-xue,et al. Research on Panorama Image Mosaic Algorithm Based on Improved SIFT and RANSAC[J].,2016,26(04):61-65.
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 基于改进SIFT和RANSAC图像拼接算法研究()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
26
期数:
2016年04期
页码:
61-65
栏目:
智能、算法、系统工程
出版日期:
2016-04-10

文章信息/Info

Title:
 Research on Panorama Image Mosaic Algorithm Based on Improved SIFT and RANSAC
文章编号:
1673-629X（2016)04-0061-05
作者:
 马强; 项昭保; 黄良学; 王博化
 重庆邮电大学 工业物联网与网络化控制教育部重点实验室
Author(s):
 MA Qiang ; XIANG Zhao-bao; HUANG Liang-xue; WANG Bo-hua
关键词:
 ; 图像拼接; SIFT算法; RANSAC算法; 图像融合
Keywords:
 ; image mosaic; SIFT; RANSAC;  image fusion
分类号:
TP301.6
文献标志码:
A
摘要:
 就目前图像拼接算法复杂性和RANSAC算法迭代次数多的问题，文中提出了一种新的图像拼接算法。通过提取特征点、图像配准和加权平均融合方法，对图像进行拼接。利用改进算法提取特征点，减少了算法复杂度。此外，改进的RANSAC算法能够用来减少迭代次数。实验结果表明：该方法能够有效减少运算量，加快拼接速度，拼接效果较为理想。
Abstract:
 In order to solve the problems of the complexity for the image mosaic algorithm and the large number of iteration for RANSAC,a panorama image mosaic algorithm is proposed in this paper. By feature points extraction,the image registration and weighted average fusion method,image stitching is conducted. The improved algorithm is used to extract the feature points,reducing the complexity of algorithm. In addition,the improved RANSAC algorithm can be used to reduce the number of iterations. Experimental results show that the improved method has lower computing load and increases the speed,besides,splicing efficiency has been significantly improved.

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更新日期/Last Update: 2016-06-16