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基于改进SURF算法的室内环境图像快速拼接
Alternative TitleResearch on indoor environment images mosaic quickly based on improved SURF algorithm
符秀辉; 周文俊; 赵茂鑫
Department机器人学研究室
Source Publication计算机技术与发展
ISSN1673-629X
2015
Volume25Issue:8Pages:39-42, 47
Contribution Rank1
Funding Organization国家自然科学基金资助项目(51375477)
Keyword室内环境 图像拼接 加速鲁棒特征 随机采样一致性 最近邻分类
Abstract针对室内环境下利用传统加速鲁棒特征(SURF)算法进行图像实时拼接效率不高,以及室内环境图像快速拼接的要求,提出了一种基于改进SURF算法的室内环境图像快速拼接方法。首先,采用传统加速鲁棒特征(SURF)算法对获得到的室内环境图像进行初步特征点提取,同时利用双向K最近邻分类算法筛选提取到的SURF特征点,得到粗略的匹配点对;其次采用随机采样一致性(RANSAC)算法更新匹配点对,剔除被错误提取的匹配点对;最后采取加权平均融合算法对配准完成后图像进行融合拼接。通过该方法得到了完整的室内环境拼接图像,并提高了图像匹配准确度和拼接效率。从实验结果看出,提出的改进方法能极大降低室内图像的匹配错误,提高...
Other AbstractIn order to solve the problem of poor effect on indoor environment image mosaic cased by Speed-Up Robust Features (SURF) algorithm and meet the demands of the fast indoor environment images matching, in this paper, the improved algorithm of SURF is proposed. The first, the feature points are detected by Speed-Up Robust Features (SURF) algorithm; secondly using bidirectional k-nearest neighbor algorithm to filtrate the feature points; then the error feature points are eliminated by Random Sample Consensus (RANSAC) algorithm; finally, the weighted average method to the mosaic images. Through the above steps, the final images have been obtained and the efficiency of the images matching has been improved. The experiment results show that the algorithm proposed in this paper can reduce the matching error, increase the images mosaic efficiency and acquire the good stitching effect.
Language中文
Document Type期刊论文
Identifierhttp://ir.sia.cn/handle/173321/16847
Collection机器人学研究室
Affiliation1.沈阳化工大学信息工程学院
2.中国科学院沈阳自动化研究所
Recommended Citation
GB/T 7714
符秀辉,周文俊,赵茂鑫. 基于改进SURF算法的室内环境图像快速拼接[J]. 计算机技术与发展,2015,25(8):39-42, 47.
APA 符秀辉,周文俊,&赵茂鑫.(2015).基于改进SURF算法的室内环境图像快速拼接.计算机技术与发展,25(8),39-42, 47.
MLA 符秀辉,et al."基于改进SURF算法的室内环境图像快速拼接".计算机技术与发展 25.8(2015):39-42, 47.
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