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A sort of fast matching algorithm of Auto Rack Girder Detection System

机译:一种自动机架梁检测系统的快速匹配算法

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Auto Rack Girder Detection System based on image mosaicing technique for aerial images were studied. Phase correlation method is used to complete Rack Girder image mosaicing. With Fast Fourier Transform of images, the phase information in frequency domain is used to realize image mosaicing. Considering a lot of Sequence Images having features need to be real-time stitched, improved Fourier field stitching algorithm is put forward in the paper. At first large region is restricted within overlapped areas of image, and then two-dimension pulsing signal is gotten after cross-power spectrum is counted. Registration parameters are gained through maximum of pulsing signal. To bundle image, a new weighting image smoothing algorithm based on Canny is put forward. To the extent, the algorithm has general adaptability to some factors such as lamination variation and noise and so on. The algorithm suits a lot Sequence Images fast stitching as the fast speed of stitching because of fast speed of stitching. The analytic conclusions indicate that the algorithm is adopted to fast stitch a lot of sequence images, and it has general adaptability to some factors such as lamination variation, noise and so on.
机译:研究了基于图像拼接技术的航拍自动架梁检测系统。相位相关法用于完成机架梁图像拼接。利用图像的快速傅立叶变换,可以利用频域中的相位信息来实现图像拼接。考虑到许多具有特征的序列图像需要实时拼接,提出了一种改进的傅立叶场拼接算法。首先,将大的区域限制在图像的重叠区域内,然后在计算交叉功率谱后获得二维脉冲信号。通过最大脉冲信号获得配准参数。为了捆绑图像,提出了一种新的基于Canny的加权图像平滑算法。在某种程度上,该算法对某些因素具有总体适应性,例如层压变化和噪声等。由于拼接速度快,该算法适合很多“序列图像”快速拼接。分析结论表明,该算法用于快速拼接大量序列图像,对叠层变化,噪声等因素具有普遍的适应性。

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