Abstract—Legendre moments are continuous moments, hence, when applied to discrete-space images, numerical approximation is involved and error occurs. This paper proposes a method to compute the exact values of the moments by mathematically integrating the Legendre polynomials over the corresponding intervals of the image pixels. Experimental results show that the values obtained match those calculated theoretically, and the image reconstructed from these moments have lower error than that of the conventional methods for the same order. Although the same set of exact Legendre moments can be obtained indirectly from the set of geometric moments, the computation time taken is much longer than the proposed method. Index Terms—Moments, feature r...
Abstract − Several pattern recognition applications use orthogonal moments to capture independent sh...
ABSTRACT-Processing blurred images is a key problem in many image applications. Existing methods to ...
International audienceDiscrete orthogonal moments have been recently introduced in the field of imag...
Abstract: In this research, a numerical integration method is proposed to improve the computational ...
Legendre orthogonal moments have been widely used in the field of image analysis. Because their comp...
This paper presents recursive algorithms for fast computation of Legendre and Zernike moments of a g...
Existing works on orthogonal moments are mainly focused on optimizing classical orthogonal Cartesian...
Various types of moments have been used to recognize image patterns in a number of applications. The...
Image feature representation techniques using orthogonal moment functions have been used in many app...
Abstract. A new reformulation of Philips’ algorithm for the computation of discrete image moments is...
Several pattern recognition applications use orthogonal moments to capture independent shape charac...
The paper describes the calculation of the Krawtchouk Moments (KMs) from an image, which is a comput...
Abstract. Geometric moments have been proven to be a very efficient tool for description and recogni...
International audienceMoment functions have been defined in [1] and important properties such as inv...
Pseudo-Zernike moments have better feature representation capabilities and are more robust to image ...
Abstract − Several pattern recognition applications use orthogonal moments to capture independent sh...
ABSTRACT-Processing blurred images is a key problem in many image applications. Existing methods to ...
International audienceDiscrete orthogonal moments have been recently introduced in the field of imag...
Abstract: In this research, a numerical integration method is proposed to improve the computational ...
Legendre orthogonal moments have been widely used in the field of image analysis. Because their comp...
This paper presents recursive algorithms for fast computation of Legendre and Zernike moments of a g...
Existing works on orthogonal moments are mainly focused on optimizing classical orthogonal Cartesian...
Various types of moments have been used to recognize image patterns in a number of applications. The...
Image feature representation techniques using orthogonal moment functions have been used in many app...
Abstract. A new reformulation of Philips’ algorithm for the computation of discrete image moments is...
Several pattern recognition applications use orthogonal moments to capture independent shape charac...
The paper describes the calculation of the Krawtchouk Moments (KMs) from an image, which is a comput...
Abstract. Geometric moments have been proven to be a very efficient tool for description and recogni...
International audienceMoment functions have been defined in [1] and important properties such as inv...
Pseudo-Zernike moments have better feature representation capabilities and are more robust to image ...
Abstract − Several pattern recognition applications use orthogonal moments to capture independent sh...
ABSTRACT-Processing blurred images is a key problem in many image applications. Existing methods to ...
International audienceDiscrete orthogonal moments have been recently introduced in the field of imag...