[1]马振徽,王汝传,黄海平,等.基于缝合技术的图像传感器网络消除冗余数据方案[J].东南大学学报(自然科学版),2011,41(2):280-284.[doi:10.3969/j.issn.1001-0505.2011.02.013]
 Ma Zhenhui,Wang Ruchuan,Huang Haiping,et al.Redundancy elimination scheme based on stitching technique in image sensor networks[J].Journal of Southeast University (Natural Science Edition),2011,41(2):280-284.[doi:10.3969/j.issn.1001-0505.2011.02.013]
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基于缝合技术的图像传感器网络消除冗余数据方案()
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《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
41
期数:
2011年第2期
页码:
280-284
栏目:
计算机科学与工程
出版日期:
2011-03-20

文章信息/Info

Title:
Redundancy elimination scheme based on stitching technique in image sensor networks
作者:
马振徽13王汝传123黄海平123沙超13
(1南京邮电大学计算机学院, 南京 210003)
(2南京邮电大学计算机技术研究所, 南京 210003)
(3南京邮电大学江苏省无线传感网高技术研究重点实验室, 南京 210003)
Author(s):
Ma Zhenhui13Wang Ruchuan123Huang Haiping123Sha Chao13
(1College of Computer, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
(2Institute of Computer Science and Technology, Nanjing University of Posts and Telecommunications, Nanjing 210003, China)
(3High Technology Research Key Laboratory of Wireless Sensor Networks of Jiangsu Province, Nanjing University of Posts and
Telecommunications, Nanjing 210003, China)
关键词:
图像传感器网络图像缝合相关系数图像冗余
Keywords:
image sensor networks image stitching correlation coefficient image redundancy
分类号:
TP393
DOI:
10.3969/j.issn.1001-0505.2011.02.013
摘要:
为了减少密集部署的无线图像传感器网络中相机节点的冗余数据,提高网络生存周期,利用图像缝合技术在簇头节点找出相机节点采集图像的重合区域,并告知相机节点,相机节点过滤掉与相邻节点重合的冗余图像数据,簇头节点对接收到的图像进行重建并拼接成全景图.提出了一种面向图像的节点相关系数计算方法,解决了现有相关系数计算方法中要求准确获知节点空间位置的问题.仿真实验结果表明,该方法使相机节点能有效地去除冗余数据,簇头节点能重建出高质量的全景图,而且面向图像的相关系数很好地反映了相机节点的相关性.
Abstract:
For the purpose of reducing the redundant data of camera nodes and prolonging network lifetime in densely deployed image sensor networks, the image stitching technology is used in cluster heads to locate the overlapping area of the images that camera nodes captured, then, the overlapping area information is transmitted to camera nodes. Thus, camera nodes reduce the overlapping image data and cluster heads reconstruct the received images and stitch them. Moreover, a new image-oriented node correlation coefficient computing method is proposed to solve the problem in current method that precise node position information is required. Simulation experiments indicate that the proposed method enables camera nodes to efficiently eliminate redundant image data and cluster heads are able to reconstruct panoramic images of high quality. Moreover, the image-oriented node correlation coefficient computing method describes the correlation of camera nodes preferably.

参考文献/References:

[1] Xue Zhuo,Loo K K,Cosmas J,et al.Distributed video coding in wireless multimedia sensor network for multimedia broadcasting [C]//WSEAS Transactions on Communications.Athens,Greece,2008:261-266.
[2] Ma Huadong,Liu Yonghe.Correlation based video processing in video sensor networks [C]//International Conference on Wireless Networks,Communications and Mobile Computing.Maui,USA,2005:987-992.
[3] Medjiah S,Ahmed T,Krief F.GEAMS:a geographic energy-aware multipath stream-based routing protocol for WMSNs[C]//Information Infrastructure Symposium.Hammemet,Tunisia,2009:1-8.
[4] Qu Wei,Wang Jinkuan,Liu Zhigang.An energy-efficiency coverage-preserving node scheduling scheme in wireless sensor networks [C]//International Symposium on Computer Network and Multimedia Technology.Wuhan,China,2009:1-4.
[5] Brown M,Lowe D G.Automatic panoramic image stitching using invariant features [J].International Journal of Computer Vision,2007,74(1):59-73.
[6] Wai Chong Chia,Li-Minn Ang,Kah Phooi Seng.Multiview image compression for wireless multimedia sensor network using image stitching and SPIHT coding with EZW tree structure [C]//International Conference on Intelligent Human-Machine Systems and Cybernetics.Hangzhou,China,2009:298-301.
[7] Yu Z T,Qian J,Liu S Y,et al.A novel spatial correlation-based clustering protocol in wireless sensor network [C]//4th International Conference on Wireless Communications,Networking and Mobile Computing.Dalian,China,2008:4020-4023.
[8] Dai R,Akyildiz I F.A spatial correlation model for visual information in wireless multimedia sensor networks [J].IEEE Transactions on Multimedia,2009,11(6):1148-1159.
[9] Zhu Daixian.SIFT algorithm analysis and optimization [C]//International Conference on Image Analysis and Signal Processing.Xiamen,China,2010:415-419.
[10] Chum O,Matas J.Optimal randomized RANSAC[J].IEEE Transactions on Pattern Analysis and Machine Intelligence,2008,30(8):1472-1482.
[11] Fang Xianyong,Luo Bin,Zhao Haifeng,et al.A 5-parameter bundle adjustment method for image mosaic [C]//Eighth IEEE/ACIS International Conference on Computer and Information Science.Shanghai,China,2009:1063-1067.

备注/Memo

备注/Memo:
作者简介:马振徽(1987—),男,硕士生;王汝传(联系人),男,教授,博士生导师,wangrc@njupt.edu.cn.
基金项目:国家自然科学基金资助项目(60973139,60903181,60773041,61003039,61003236)、江苏省科技支撑计划(工业)资助项目(BE2010197,BE 2010198)、江苏省级现代服务业发展专项资金资助项目、江苏省高校自然科学基础研究资助项目(10KJB520013)、高校科研成果产业化推进工程资助项目(JH10-14)、国家和江苏省博士后基金资助项目(0801019C,20090451240,20090451241)、江苏高校科技创新计划资助项目 (CX09B_153Z,CX10B-197Z,CX10B-200Z)、江苏省“六大人才高峰”资助项目(2008118)、江苏省计算机信息处理技术重点实验室基金资助项目(2010).
引文格式: 马振徽,王汝传,黄海平,等.基于缝合技术的图像传感器网络消除冗余数据方案[J].东南大学学报:自然科学版,2011,41(2):280-284.[doi:10.3969/j.issn.1001-0505.2011.02.013]
更新日期/Last Update: 2011-03-20