Results 211 to 220 of about 9,825,333 (241)
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Measurement, 2019
Abstract In this paper, the image Hash authentication algorithm for orthogonal moments of fractional order chaotic scrambling coupling hyper-complex number Tchebichef is proposed. The improved PDE function and Ring segmentation mechanism are used to process the initial image and output the secondary image to improve the robustness of Hash’s ...
Feng Tao, Wu Qian
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Abstract In this paper, the image Hash authentication algorithm for orthogonal moments of fractional order chaotic scrambling coupling hyper-complex number Tchebichef is proposed. The improved PDE function and Ring segmentation mechanism are used to process the initial image and output the secondary image to improve the robustness of Hash’s ...
Feng Tao, Wu Qian
openaire +2 more sources
Stereo Image Analysis by Octonion Fractional-Order Orthogonal Color Moments
2023 International Conference on Pattern Recognition, Machine Vision and Intelligent Algorithms (PRMVIA), 2023Polar harmonic Fourier moments (PHFMs) are popular for image analysis due to their properties of lower computation complexity and minimal redundant description capability of images.
Bing He
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Robust Reversible Watermarking by Fractional Order Zernike Moments and Pseudo-Zernike Moments
IEEE Transactions on Circuits and Systems for Video Technology, 2023Robust reversible watermarking (RRW) is one of the most popular areas in information hiding. Existing schemes have two drawbacks: 1) schemes that can resist conventional attacks often fail to resist geometric attacks, and 2) schemes that can resist ...
Kaiyue Hou, Liaoran Xu
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New fractional-order Legendre-Fourier moments for pattern recognition applications
Pattern Recognition, 2020Orthogonal moments enable computer-based systems to discriminate between similar objects. Mathematicians proved that the orthogonal polynomials of fractional-orders outperformed their corresponding counterparts in representing the fine details of a given
Khalid Hosny +2 more
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Novel fractional-order generic Jacobi-Fourier moments for image analysis
Signal Processing, 2020Orthogonal moments were successfully used to extract features from gray-scale and color images. Recently, scientists show that orthogonal moments of fractional-orders have better capabilities to extract the fine features.
Khalid Hosny +2 more
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Fractional discrete Tchebyshev moments and their applications in image encryption and watermarking
Information Sciences, 2020Discrete Tchebyshev moments (DTMs), as a kind of typical discrete orthogonal moments, have been widely used in image analysis. However, the order of DTMs is restricted to an integer, and the fractional versions of DTMs have not been investigated. A novel
Bin Xiao, Beijing Chen, Li Weisheng
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Accurate quaternion fractional-order pseudo-Jacobi–Fourier moments
Pattern Analysis and Applications, 2022Pan-Pan Niu
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Plant disease recognition using fractional-order Zernike moments and SVM classifier
Neural Computing and Applications, 2019Parminder Kaur +2 more
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Color face recognition using novel fractional-order multi-channel exponent moments
Neural Computing and Applications, 2020Khalid Hosny +2 more
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Image Analysis by Fractional-Order Gaussian-Hermite Moments
IEEE Transactions on Image Processing, 2022Moments and moment invariants are effective feature descriptors. They have widespread applications in the field of image processing. The recent researches show that fractional-order moments have notable image representation ability.
Bo Yang, Xiaojuan Shi, Xiaofeng Chen
semanticscholar +1 more source