Blurred Image Recognition by Legendre Moment Invariants

DOI10.1109/TIP.2009.2036702zbMath1371.94452OpenAlexW2160854050WikidataQ35631441 ScholiaQ35631441MaRDI QIDQ5366261

Huazhong Shu, Guo-Niu Han, Hui Zhang, Limin Luo, Gouenou Coatrieux, Jean Louis Coatrieux

Publication date: 9 October 2017

Published in: IEEE Transactions on Image Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tip.2009.2036702

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Related Items (12)

Shape interpretation of second-order moment invariants ⋮ Fast computation of separable two-dimensional discrete invariant moments for image classification ⋮ Blur invariants: a novel representation in the wavelet domain ⋮ 2D and 3D image localization, compression and reconstruction using new hybrid moments ⋮ Fast algorithm of 3D discrete image orthogonal moments computation based on 3D cuboid ⋮ Robust multivariate density estimation under Gaussian noise ⋮ Legendre moment invariants to blur and affine transformation and their use in image recognition ⋮ Fast computation of 3D discrete invariant moments based on 3D cuboid for 3D image classification ⋮ Combined blur, translation, scale and rotation invariant image recognition by Radon and pseudo-Fourier-Mellin transforms ⋮ Image representation using separable two-dimensional continuous and discrete orthogonal moments ⋮ Fast computation of Krawtchouk moments ⋮ Pseudo-Zernike moment invariants to blur degradation and similarity transformation

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