厉丹,肖理庆,田隽,孙金萍.基于改进相位相关与特征点配准的多图拼接算法[J].计算机科学,2018,45(1):313-319
基于改进相位相关与特征点配准的多图拼接算法
Multi-images Mosaic Algorithm Based on Improved Phase Correlation and Feature Point Registration
投稿时间:2016-10-06  修订日期:2017-01-22
DOI:10.11896/j.issn.1002-137X.2018.01.054
中文关键词:  图像配准,拼接,相位相关,Harris角点,NSCT变换
英文关键词:Image registration,Mosaic,Phase correlation,Harris corner,NSCT transform
基金项目:本文受江苏省高校自然科学研究面上项目(15KJB520033,6KJB510022),江苏省自然科学青年基金(BK20160966),住房城乡建设部科学技术计划项目(2014-K5-027,6-R2-060),徐州市科技计划项目(KC16SH009,KC16SH010),江苏省智慧工业控制技术重点建设实验室资助
作者单位
厉丹 徐州工程学院信电工程学院江苏省智慧工业控制技术重点建设实验室 江苏 徐州221000 
肖理庆 徐州工程学院信电工程学院江苏省智慧工业控制技术重点建设实验室 江苏 徐州221000 
田隽 徐州工程学院信电工程学院江苏省智慧工业控制技术重点建设实验室 江苏 徐州221000 
孙金萍 徐州工程学院信电工程学院江苏省智慧工业控制技术重点建设实验室 江苏 徐州221000 
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中文摘要:
      针对拼接过程易受图像采集时曝光、尺度变化、旋转、环境噪声、光照等因素的影响,以及多图手动排序出错率高、耗时长等问题,提出了一种基于改进相位相关与特征点配准的多图拼接算法。首先,基于对数极坐标变换的改进相位相关算法来计算缩放、旋转和平移参数,根据冲激函数峰值实现多图自动排序;接着,在重叠位置提取Harris角点,改进的Ransac算法精确提纯匹配点对,优化变换矩阵以完成拼接;最后,通过利用NSCT变换算法多尺度分解低频、高频子带来制定融合策略,从而解决接缝明显的问题。实验结果表明,新算法 建立的模型参数准确且高效,拼接融合效果过渡自然,能较好地解决复杂环境及乱序图像的拼接问题。
英文摘要:
      The result of image mosaic suffers from different exposure of the camera,scale change,rotation,ambient noise and light interference.Manual sorting images have problems of high error rate and poor efficiency.In this paper,a new algorithm of multi-images mosaic based on improved phase correlation and feature point registration was proposed.Firstly,the improved phase correlation algorithm based on log polar transformation is used to calculate parameters of scaling,rotation and translation.Sort rules are made according to the peak size of impulse function energy.Then,the Harris corner points are extracted in overlapping positions,the matching point pairs are purified by the improved Ransac algorithm,and the transformation matrix is optimized to complete mosaic .At last,according to the phenomenon of joint,images are processed by NSCT transform algorithm to decompose low frequency and high frequency sub-bands.The new fusion strategy can make the image joint seem smooth and natural.The results of the experiments confirm that the model parameters established by the new algorithm are accurate and efficient,and the mosaic has high robustness to complex environment and chaotic sequence images.
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