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Image Mosaic Based on RANSAC with Matching Point Increasing
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Shun JIN1, Dong-yuan GE1, *, Xi-fan YAO2
Science Technology and Engineering | 2025, 25(6) : 2435 - 2441
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Science Technology and Engineering | 2025, 25(6): 2435-2441
• Papers·Automation and Computational Technology •
Image Mosaic Based on RANSAC with Matching Point Increasing
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Shun JIN1, Dong-yuan GE1, *, Xi-fan YAO2
Affiliations
  • 1 School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China
  • 2 School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China
Published: 2025-02-28 doi: 10.12404/j.issn.1671-1815.2401806
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To address the issues of long stitching time due to numerous mismatched feature points and insufficient stitching accuracy when using all feature points directly in image stitching tasks, an optimized image stitching method combining a matching point increasing strategy with RANSAC(random sample consensus) was proposed. The method initially screened feature points to prevent numerous ineffective samples, thus improving computational efficiency. Then, a progressive sampling strategy was employed to incrementally increase matching points and repeatedly sample for precise results. Finally, the optimal model was obtained by utilizing a new loss function based on root mean square error to filter the results. The experimental results indicate that, without a noticeable increase in time consumption, the interior point rate of the algorithm in this paper is further enhanced, the mean and root mean square errors of feature points have decreased significantly, the accuracy of image stitching is improved, the misalignment phenomenon at the stitching seam is effectively improved, and the stitching errors in image stitching tasks are significantly reduced.

matching point increasing  /  image stitching  /  random sample consensus  /  homography matrix
Shun JIN, Dong-yuan GE, Xi-fan YAO. Image Mosaic Based on RANSAC with Matching Point Increasing[J]. Science Technology and Engineering, 2025 , 25 (6) : 2435 -2441 . DOI: 10.12404/j.issn.1671-1815.2401806
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Year 2025 volume 25 Issue 6
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Article Info
doi: 10.12404/j.issn.1671-1815.2401806
  • Receive Date：2024-03-14
  • Online Date：2025-07-27
  • Published：2025-02-28
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History
  • Received：2024-03-14
  • Revised：2024-12-10
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Affiliations
    1 School of Mechanical and Automotive Engineering, Guangxi University of Science and Technology, Liuzhou 545006, China
    2 School of Mechanical and Automotive Engineering, South China University of Technology, Guangzhou 510640, China
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