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A new modified panoramic UAV image stitching model based on the GA-SIFT and adaptive threshold method

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Abstract

This paper presents panoramic unmanned aerial vehicle (UAV) image stitching techniques based on an optimal Scale Invariant Feature Transform (SIFT) method. The image stitching representation associates a transformation matrix with each input image. In this study, we formulate stitching as a multi-image matching problem, and use invariant local features to find matches between the images. An improved Geometric Algebra (GA-SIFT) algorithm is proposed to realize fast feature extraction and feature matching work for the scanned images. The proposed GA-SIFT method can locate more feature points with greater accurately than the traditional SIFT method. The adaptive threshold value method proposed solves the limitation problem of high computation load and high cost of stitching time by greater feature points extraction and stitching work. The modified random sample consensus method is proposed to estimate the image transformation parameters and to determine the solution with the best consensus for the data. The experimental results demonstrate that the proposed image stitching method greatly increases the speed of the image alignment process and produces a satisfactory image stitching result. The proposed image stitching model for aerial images has good distinctiveness and robustness, and can save considerable time for large UAV image stitching.

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Acknowledgements

This research work was supported by the China Central University Foundation, Project Number: [15D110406].

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Authors and Affiliations

  1. Engineering Research Center of Digitized Textile and Fashion Technology, Ministry of Education, Shanghai, China

    Y. H. Zhang, X. Jin & Z. J. Wang

  2. College of Information Science and Technology, DongHua University, Shanghai, 201620, China

    Y. H. Zhang, X. Jin & Z. J. Wang

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  1. Y. H. Zhang
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  2. X. Jin
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  3. Z. J. Wang
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Correspondence to Y. H. Zhang.

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Zhang, Y.H., Jin, X. & Wang, Z.J. A new modified panoramic UAV image stitching model based on the GA-SIFT and adaptive threshold method. Memetic Comp. 9, 231–244 (2017). https://doi.org/10.1007/s12293-016-0219-9

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  • DOI: https://doi.org/10.1007/s12293-016-0219-9

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