Volume 9 Number 4 (Oct. 2019)
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IJAPM 2019 Vol.9(4): 158-166
doi: 10.17706/ijapm.2019.9.4.158-166

Research on Function Addition Decomposition and Function Moments

Xueshang Nai 1 , Yumin Tian 2 , Xingyang Xu 1

  • 1 Shandong Vocational College of Foreign Affairs Translation, Shandong, Rushan City, Wei Hai City, Shandong
  • 2 Xidian University, No. 2 South Taibai Road, Xi’an, Shaanxi, China.

Abstract

In order to study some statistical characteristics of matrix addition decomposition, the concept of function addition decomposition and its moments is defined. Theoretically, if the function can be decomposed into the addition of the function sequence, the sum of the moments of the function sequence can be found to be equal to the moments of the original function under certain conditions. Then the property of function decomposition is applied to matrix addition decomposition. If a matrix can be decomposed into the addition of matrix sequence, the sum of matrix sequence moments is equal to that of the original matrix. Finally, the normalized central moments and local normalized central moments of image are calculated. These normalized central moments have scaling and translation invariance, which shows that the function sequence moments can be used to extract local features of images.

Keywords

  • Function addition decomposition
  • function sequence
  • function moments
  • matrix sequence
  • matrix addition decomposition
427-SCE19-602

How to Cite

Copied

Xueshang Nai, Yumin Tian, and Xingyang Xu, "Research on Function Addition Decomposition and Function Moments," International Journal of Applied Physics and Mathematics, vol. 9, no. 4, pp. 158-166, 2019. https://doi.org/ 10.17706/ijapm.2019.9.4.158-166

Copyright & License

Copyright © 2019 by the authors. This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).

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General Information

ISSN: 2010-362X (Online)
Abbreviated Title: Int. J. Appl. Phys. Math.
Frequency: Semi-annual
APC: 500USD
DOI: 10.17706/IJAPM
Editor-in-Chief: Prof. Haydar Akca
Managing Editor: Ms. Phoebe Clifford
Abstracting/ Indexing: INSPEC(IET), CNKI, Google Scholar, EBSCO, Chemical Abstracts Services (CAS), etc.
E-mail: editor@ijapm.org
 

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