Research on the Fast Stitching Algorithm of Sequence Images in the Auto Rack Girder Detection

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Research on the Fast Stitching Algorithm of Sequence Images in the Auto Rack Girder Detection

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- Research on the Fast Stitching Algorithm of Sequence Images in the Auto Rack Girder Detection
- Optics and Precision Engineering Vol. 16, Issue 3, Pages: 531-536(2008)
- 作者机构：
  
  哈尔滨工业大学机器人研究所
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Received：24 September 2007，
  
  Revised：31 October 2007，
  
  Published Online：22 March 2008，
  
  Published：22 March 2008
- 稿件说明：
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陈立国. 面向汽车车架纵梁检测的序列图像快速拼接算法[J]. 光学精密工程, 2008,16(3):531-536

Research on the Fast Stitching Algorithm of Sequence Images in the Auto Rack Girder Detection[J]. Optics and precision engineering, 2008, 16(3): 531-536.
陈立国. 面向汽车车架纵梁检测的序列图像快速拼接算法[J]. 光学精密工程, 2008,16(3):531-536 DOI：

Research on the Fast Stitching Algorithm of Sequence Images in the Auto Rack Girder Detection[J]. Optics and precision engineering, 2008, 16(3): 531-536. DOI：

摘要

根据汽车车架纵梁检测的实际要求，构建了实时视觉检测的系统装置。提出了一种改进的基于频域的FFT 拼接算法，用于拼接汽车车架纵梁的序列图像。该算法首先在相邻图像的重叠区域选取一块较大的区域，构成一幅新的图像，然后求出两幅图像的互功率谱，经傅立叶反变换后得到一个二维脉冲信号。通过求该脉冲信号的最大值来获得图像的配准参数。然后，提出了一种新的基于Canny算子的加权图像平滑算法用于图像的融合。该算法对于图像的光照变化和噪声等因素具有一定的适应性，而且拼接速度较快，适用于大量有特征序列图像的快速拼接。

Abstract

According to requirement of the auto rack girder detection

the real time visual detecting system is designed. Sequence images having features need to be real-time stitched and an improved Fourier field stitching algorithm which is applied to stitch sequence images of the Auto Rack Girder is put forward in the paper. It is selected within overlapped areas of image at first large region and two-dimension pulsing signal is gotten after cross-power spectrum is counted. Registration parameters are gained through maximum of pulsing signal. To bundle images

a new weighting image smoothing algorithm based on Canny is put forward. To some extent

the algorithm has general adaptability to some factors such as lamination variation

noise and so on. With the fast stitching speed

the algorithm is adopted to fast stitch a lot of sequence images.

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