基于特征点匹配的电子稳像算法研究
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中国电子科技集团公司创新基金资助


Electronic image stabilization algorithm based on feature points matching
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    摘要:

    针对基于特征点匹配的电子稳像算法中,SIFT算子计算量大,Harris算子检测不稳的问题,提出用Harris算子来进行特征点提取,并采用SIFT特征描述的方式对提取出的特征点进行描述,从而寻求算法在计算复杂度和匹配精度上的平衡点;在特征点匹配过程中加入RANSAC准则,以提高配对的准确性。仿真实验表明,本文算法对存在抖动的红外视频具有较好的稳像效果。

    Abstract:

    As SIFT algorithm has large calculation and the detection of Harris algorithm is unstable,the electronic image stabilization algorithm based on feature points matching is proposed.The feature points were extracted by Harris operator,and the extracted feature points were described by SIFT algorithm.Then the balance point of the computational complexity and matching accuracy for the algorithm was found.RANSAC criterion was used to improve the matching accuracy in the process of the feature points matching.The simulation results show that this algorithm can stabilize the jitter of the infrared video.

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崔昌浩,王晓剑,刘鑫.基于特征点匹配的电子稳像算法研究[J].激光与红外,2015,45(9):1119~1122
CUI Chang-hao, WANG Xiao-jian, LIU Xin. Electronic image stabilization algorithm based on feature points matching[J]. LASER & INFRARED,2015,45(9):1119~1122

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  • 在线发布日期: 2015-09-25
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