Image Mosaic Method Research Based on Improved SIFT and Contourlet Transform

ZHANG Yong; WANG Zhi-feng; MA Ren

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Image Mosaic Method Research Based on Improved SIFT and Contourlet Transform

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- Image Mosaic Method Research Based on Improved SIFT and Contourlet Transform
- Vol. 33, Issue 10, Pages: 134-138(2016)
- 作者机构：
  
  1. 重庆邮电大学机构通信新技术应用研究中心,重庆,400065
  2. 重庆信科设计有限公司,重庆,400065
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2016
- 稿件说明：
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张勇, 王志锋, 马忍. 基于改进SIFT和Contourlet变换的图像拼接方法研究[J]. 微电子学与计算机, 2016, 33(10): 134-138.

ZHANG Yong, WANG Zhi-feng, MA Ren. Image Mosaic Method Research Based on Improved SIFT and Contourlet Transform[J]. 2016, 33(10): 134-138.
张勇, 王志锋, 马忍. 基于改进SIFT和Contourlet变换的图像拼接方法研究[J]. 微电子学与计算机, 2016, 33(10): 134-138. DOI：

ZHANG Yong, WANG Zhi-feng, MA Ren. Image Mosaic Method Research Based on Improved SIFT and Contourlet Transform[J]. 2016, 33(10): 134-138. DOI：

摘要

基于改进的2DPCA-SIFT算法

提出了一种结合Contourlet变换的新的图像拼接方法.用Contourlet变换进行图像融合的优势是

它可以消除色差

使融合之后的图像更清晰.实验结果表明

该方法能够提高图像配准的速度和精度

增强图像拼接的效果.

Abstract

Based on the improved 2DPCA-SIFT algorithm

this paper presents a new method of image mosaic based on Contourlet transform. The advantage of using Contourlet transform for image fusion is that it can eliminate the color difference and make the image more clear after fusion. Experimental results show that this method can improve the speed and precision of image registration

and enhance the effect of image mosaic.

关键词

Keywords

references

宋佳乾, 汪西原. 基于改进SIFT特征点匹配的图像拼接算法[J]. 计算机测量与控制, 2015, 23(2): 512-515. DOI: 512

Ke Y, Sukthankar R. PCA-SIFT: A more distinctive representation for local image descriptors [C]// Proceedings of IEEE International Conference on Computer Vision and Pattern Recognition. Washington DC, USA: IEEE, 2004: 511-517.

杨舒, 王玉德. 基于Contourlet变换和Hu不变矩的图像检索算法[J]. 红外与激光工程, 2014, 43(1): 306-310. DOI: 306

陈木生. 基于Contourlet变换和模糊理论的图像融合算法[J]. 激光与红外, 2012, 42(6): 695-698. DOI: 695

Lowe D G. Distinctive image features from scale-invariantkeypoints[J]. International Journal of Computer Vision, 2004, 60(2): 91-110. DOI: 91

王鹤, 谢刚. 基于PCA-SIFT特征的目标识别算法[J]. 电视技术, 2013, 37(15): 30-32. DOI: 30

王田甲, 刘国荣. SIFT改进算法在图像配准中的应用[J]. 微电子学与计算机, 2011, 28(5): 184-188 DOI: 184

瞿中, 乔高元, 林嗣鹏. 一种消除图像拼接缝和鬼影的快速拼接算法[J]. 计算机科学, 2015, 42(3): 280-283. DOI: 280

左毅, 陈勇, 游华. 一种基于小波变换的快速SIFT图像拼接算法[J]. 重庆师范大学学报(自然科学版), 2014, 31(3): 77-81. DOI: 77

尚明姝. 基于改进SIFT特征匹配的快速图像拼接算法[J]. 微电子学与计算机, 2014, 31(1): 64-67. DOI: 64

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