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一种适用于多媒体传感器网络的图像拼接算法
引用本文:熊哲源,樊晓平,刘少强,李勇周,钟智.一种适用于多媒体传感器网络的图像拼接算法[J].计算机应用研究,2012,29(5):1970-1973.
作者姓名:熊哲源  樊晓平  刘少强  李勇周  钟智
作者单位:1. 中南大学信息科学与工程学院,长沙,410075
2. 中南大学信息科学与工程学院,长沙 410075;湖南财政经济学院网络化系统研究所,长沙 410205
基金项目:国家自然科学基金资助项目(60776834, 60870010)
摘    要:为充分利用有限的资源产生高分辨率、宽视角图像,考虑到相邻无线视频节点之间的信息冗余性,提出一种适用于无线多媒体传感器网络的图像拼接算法。使用分块搜索算法进行图像配准以降低能耗,改进绝对差值和算法以提高图像配准的精度,并使用渐进渐出的加权平均算法对图像进行缝合,图像拼接之后与基站间的通信量减少,可以有效降低网络负载。仿真实验结果表明,所提出的算法在保证一定图像配准精度和图像质量的情况下,计算复杂度较低,可以有效节约能量。

关 键 词:无线多媒体传感器网络  图像拼接  分块搜索  加权平均融合

Image mosaicking algorithm for wireless multimedia sensor networks
XIONG Zhe-yuan,FAN Xiao-ping,LIU Shao-qiang,LI Yong-zhou,ZHONG Zhi.Image mosaicking algorithm for wireless multimedia sensor networks[J].Application Research of Computers,2012,29(5):1970-1973.
Authors:XIONG Zhe-yuan  FAN Xiao-ping  LIU Shao-qiang  LI Yong-zhou  ZHONG Zhi
Affiliation:1. School of Information Science & Engineering, Central South University, Changsha 410075, China; 2. Institute of Networked Systems, Hunan University of Finance & Economics, Changsha 410205, China
Abstract:For sufficient utilization of constraint resource on generating high-resolution images with wide field of view, this paper proposed an algorithm took fully account the redundant visual information among multiple video sensors. It applied the image block searching algorithm for image registration to decrease the energy consumption, adapted sum of absolute difference algorithm to improve the accuracy of image registration, and applied weighted mean algorithm for image stitching. It decreased data volumes of transmission after image mosaicking, which could efficiently reduce the network loading. Simulation results demonstrate that the computation complexity of proposed algorithm is lower than other image mosaicking algorithm, under certain image registration accuracy and image quality.
Keywords:wireless multimedia sensor networks(WMSN)  image mosaicking  block searching  weighted mean fusion
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