International audienceA class of rotation-invariant orthogonal moments is proposed using a complex exponential in the radial direction. Each member of this class, while sharing beneficial properties to image representation and recognition like orthogonality and rotation-invariance, has distinctive properties depending on the value of a parameter, making it more suitable for some particular applications. The computation of moments is simpler and more stable than existing methods. Experimental results show the effectiveness of this class of moments in term of description performance and pattern recognition ability
We propose radial harmonic Fourier moments, which are shifting, scaling, rotation, and intensity inv...
Geometric moment invariants are widely used in many fields of image analysis and pattern recognition...
We propose radial harmonic Fourier moments, which are shifting, scaling, rotation, and intensity inv...
International audienceThis paper introduces four classes of rotation-invariant orthogonal moments by...
This paper introduces four classes of rotation-invariant orthogonal moments by generalizing four exi...
Abstract—This paper introduces a set of 2D transforms, based on a set of orthogonal projection bases...
Abstract—This paper introduces a set of 2D transforms, based on a set of orthogonal projection bases...
Abstract—Generic polar harmonic transforms have recently been proposed to extract rotation-invariant...
A multi-distorted invariant orthogonal moments, Jacobi-Fourier Moments (JFM), were proposed. The int...
This paper presents a new class of Tchebichef moments in polar coordinate form, using which rotation...
This paper presents a new class of Tchebichef moments in polar coordinate form, using which rotation...
This study proposes a new set of moment functions for describing gray-level and color images based o...
International audienceThe completeness property of a set of invariant descriptors is of fundamental ...
International audiencePing et al. [Z. Ping, H. Ren, J. Zou, Y. Sheng, and W. Bo, "Generic orthogonal...
In this paper we analyze some shape-based image retrieval methods which use different types of geome...
We propose radial harmonic Fourier moments, which are shifting, scaling, rotation, and intensity inv...
Geometric moment invariants are widely used in many fields of image analysis and pattern recognition...
We propose radial harmonic Fourier moments, which are shifting, scaling, rotation, and intensity inv...
International audienceThis paper introduces four classes of rotation-invariant orthogonal moments by...
This paper introduces four classes of rotation-invariant orthogonal moments by generalizing four exi...
Abstract—This paper introduces a set of 2D transforms, based on a set of orthogonal projection bases...
Abstract—This paper introduces a set of 2D transforms, based on a set of orthogonal projection bases...
Abstract—Generic polar harmonic transforms have recently been proposed to extract rotation-invariant...
A multi-distorted invariant orthogonal moments, Jacobi-Fourier Moments (JFM), were proposed. The int...
This paper presents a new class of Tchebichef moments in polar coordinate form, using which rotation...
This paper presents a new class of Tchebichef moments in polar coordinate form, using which rotation...
This study proposes a new set of moment functions for describing gray-level and color images based o...
International audienceThe completeness property of a set of invariant descriptors is of fundamental ...
International audiencePing et al. [Z. Ping, H. Ren, J. Zou, Y. Sheng, and W. Bo, "Generic orthogonal...
In this paper we analyze some shape-based image retrieval methods which use different types of geome...
We propose radial harmonic Fourier moments, which are shifting, scaling, rotation, and intensity inv...
Geometric moment invariants are widely used in many fields of image analysis and pattern recognition...
We propose radial harmonic Fourier moments, which are shifting, scaling, rotation, and intensity inv...