Literature DB >> 16355666

An efficient method for the computation of Legendre moments.

Pew-Thian Yap1, Raveendran Paramesran.   

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.

Mesh:

Year:  2005        PMID: 16355666     DOI: 10.1109/TPAMI.2005.232

Source DB:  PubMed          Journal:  IEEE Trans Pattern Anal Mach Intell        ISSN: 0098-5589            Impact factor:   6.226


  4 in total

1.  Fast computation of Tchebichef moments for binary and grayscale images.

Authors:  Huazhong Shu; Hui Zhang; Beijing Chen; Pascal Haigron; Limin Luo
Journal:  IEEE Trans Image Process       Date:  2010-06-10       Impact factor: 10.856

2.  Moment-based approaches in imaging part 3: computational considerations.

Authors:  Jean-Louis Coatrieux; Huazhong Shu; Limin Luo
Journal:  IEEE Eng Med Biol Mag       Date:  2008 May-Jun

3.  Simultaneous Recognition and Relative Pose Estimation of 3D Objects Using 4D Orthonormal Moments.

Authors:  Sergio Dominguez
Journal:  Sensors (Basel)       Date:  2017-09-15       Impact factor: 3.576

4.  A deep learning-based method for drug-target interaction prediction based on long short-term memory neural network.

Authors:  Yan-Bin Wang; Zhu-Hong You; Shan Yang; Hai-Cheng Yi; Zhan-Heng Chen; Kai Zheng
Journal:  BMC Med Inform Decis Mak       Date:  2020-03-18       Impact factor: 2.796

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.