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姚万业,鲍珣,刘彤宇. 多相机图像拼接算法的改进[J]. 科学技术与工程, 2019, 19(28): 227-232.
Yao Wanye,Liu Tongyu.The Improvement of Multi-camera Image Mosaic Algorithm[J].Science Technology and Engineering,2019,19(28):227-232.
多相机图像拼接算法的改进
The Improvement of Multi-camera Image Mosaic Algorithm
投稿时间:2019-03-21  修订日期:2019-05-05
DOI:
中文关键词:  重合区域 平移矩阵 多图拼接 改进加权线性融合
英文关键词:coincidence region translation matrix multi-graph stitching improved weighted linear fusion
基金项目:中央高校基本科研业务费专项资金资助项目
        
作者单位
姚万业 华北电力大学(保定)
鲍珣 华北电力大学(保定)
刘彤宇 华北电力大学(保定)
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中文摘要:
      为了加快图像拼接中特征检测的速率,避免图像中非重合区域对特征检测点与匹配的干扰。通过重合区域预估计算和图像的掩模处理的方法,研究了只针对重合区域的改进检测算法。为了降低由于多图拼接造成的累积误差,通过使用中间图像为基准的多图拼接的思路,研究了改进多图拼接算法并定义了平移矩阵并给出了平移量的计算公式。为了使融合效果更好,通过传统的加权线性融合算法,研究了分区域加权线性融合。结果表明:加快了特征检测速率,降低了特征点之间的误匹配率,优化了由于多图拼接带来的累积误差,提高了图像融合品质。可见上述提到的对多相机图像拼接的系列算法的改进在效果、速率上都有所改进。
英文摘要:
      In order to speed up the rate of features detecting in image mosaicking and avoid the interference of non-coincidence region’s features detecting points and matching in the image. Through the method of coincidence region predicting and image mask processing, an improved detecting algorithm for coincidence region was studied. In order to reduce the cumulative error caused by multi-image stitching, the improved multi-image stitching algorithm was studied by using the intermediate image as the reference, and the translation matrix was defined and also gived the calculation formula of translation. In order to make the fused effect looks better, the sub-region weighted linear fusion was studied by using the traditional weighted linear fusion algorithm. The results showed that the speed of features detecting was accelerated, and the error matching rate between features points was reduced. The cumulative error caused by multi-image mosaic was optimized, and the image fusing’s quality was improved. It could be seen that mentioned improvements of the series of algorithms for multi-camera images mosaicking was indeed improved in the effect and rate.
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