• Opto-Electronic Engineering
  • Vol. 42, Issue 4, 32 (2015)
WANG Xiaona*, SHEN Haizhen, ZHANG Wei, and YE Shuliang
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1003-501x.2015.04.006 Cite this Article
    WANG Xiaona, SHEN Haizhen, ZHANG Wei, YE Shuliang. Image Mosaic by Using the Local Autocorrelation Algorithm in Triangular Geometric Constraints[J]. Opto-Electronic Engineering, 2015, 42(4): 32 Copy Citation Text show less

    Abstract

    Referring to the limited field of view of the high resolution camera in the visual precision test of industrial parts, an algorithm using the triangular geometric constraint relation and the partial autocorrelation analysis of the feature points is proposed. According to the correlation between the overlapping images, the improved algorithm realize the mosaic of high resolution images of small gear. The simulation experiment results show that the image similarity between the processed image and the original one exceeds 0.98. Compared with the existing regional matching algorithm and the feature points matching algorithm, the proposed algorithm makes a good tradeoff between performance and complexity. Therefore, it is suitable for applications in fast and precisely visual inspection of industrial parts.
    WANG Xiaona, SHEN Haizhen, ZHANG Wei, YE Shuliang. Image Mosaic by Using the Local Autocorrelation Algorithm in Triangular Geometric Constraints[J]. Opto-Electronic Engineering, 2015, 42(4): 32
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