Abstract
In image retrieval, the shape feature is one of the key features of image content description. At present, most of the widely used Fourier descriptors in shape descriptors are invariant in translation, rotation and scale expansion. But Fourier descriptors are susceptible to the location of the starting point. In this paper, an improved image retrieval method based on Fourier descriptors is proposed. First, the image is preprocessed and the edge of the image is extracted. Secondly, the starting point of the contour is determined by the minimum inertia axis. Then Fourier transform is used to get eigenvectors. Finally, the correlation coefficient is used to calculate the similarity. Experiments show that the Fourier Descriptor Image Retrieval Method based on the minimum inertia axis is more efficient than other methods in Swedish Leaf database.
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Acknowledgement
This work is supported by the Harbin Science and Technology Bureau outstanding subject leader fund project (2017RAXXJ055), and Nature Science Foundation of Heilongjiang Province (F2018020), and the Basic Scientific Research Operating Expense Project of Provincial Institutions of Higher Education in Heilongjiang (17XN003).
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© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Zhao, Z., Gao, Z., Sun, H., Jin, X. (2019). Research on Fourier Descriptor Image Retrieval Technology Based on Minimum Inertia Axis. In: Jia, M., Guo, Q., Meng, W. (eds) Wireless and Satellite Systems. WiSATS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 281. Springer, Cham. https://doi.org/10.1007/978-3-030-19156-6_23
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DOI: https://doi.org/10.1007/978-3-030-19156-6_23
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