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An edge detection algorithm based upon the adaptive multi-directional anisotropic gaussian filter and its applications

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Abstract

Edge detection is essential to comprehend and analyze high-resolution remote sensing images. The Gaussian filter is widely used for image preprocessing prior to edge detection. However, some weak edge points in the images with low gradient values are more likely to be missed during edge detection following Gaussian filtering. Moreover, balancing the demands of denoising and sharpening edges is challenging in the Gaussian filter. An edge detection algorithm based on the adaptive multi-directional anisotropic Gaussian filter (AMDAGF) is proposed in this article to address these issues. Meanwhile, this article proposes an effective solution for the adaptive setting of the key parameters of the proposed algorithm, which provides assistance for the application and promotion of the proposed algorithm. Finally, by using ROC curve analysis technology, comparative edge detection experiments about two experimental areas were performed, and the superiority and viability of the proposed algorithm have been demonstrated.

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Availability of data and materials

The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.

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Acknowledgements

The authors would like to express their gratitude to EditSprings (https://www.editsprings.cn) for the expert linguistic services provided.

Funding

This work was supported by Fujian Natural Science Foundation Project (2021J011020) and Science and Technology Project of Fuzhou Polytechnic (FZYKJJJYB202101).

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Authors and Affiliations

  1. Department of Information Engineering, Fuzhou Polytechnic, Fuzhou, 350108, Fujian, China

    Xiao-dan Sun

  2. Fujian Artificial Intelligence Collaborative Innovation Center, Fuzhou, 350117, Fujian, China

    Xiao-dan Sun

  3. College of Geography and Oceanography, Minjiang University, Fuzhou, 350108, Fujian, China

    Xiao-Fang Sun

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  1. Xiao-dan Sun
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  2. Xiao-Fang Sun
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Contributions

Xiao-dan Sun contributed to conceptualization and methodology, writing-original draft preparation, and writing-review and editing; Xiao-dan Sun and Xiao-Fang Sun contributed to formal analysis and investigation and funding acquisition; and Xiao-Fang Sun contributed to resources and supervised the study.

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Correspondence to Xiao-dan Sun.

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Sun, Xd., Sun, XF. An edge detection algorithm based upon the adaptive multi-directional anisotropic gaussian filter and its applications. J Supercomput (2024). https://doi.org/10.1007/s11227-024-06044-6

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