Methods of distinguishing digital images using statistical distributions

Authors

  • Raad Fadel Hassan
  • Fadhila Ali Altaie

Keywords:

Investment returns, common stocks

Abstract

Are in this research to distinguish between images by dealing with a single
scientific methods ( discrimination statistical ) between communities , where the
image is converted with gradients of gray to the format of digital , after which it
is dealing with the image on it is an independent community and then analyzed
and compared to the results through use Matlab , that the importance of this
research is to use discrimination statistical classification digital images through
the use of three different images every image has been converted into data and
then extract the statistical characteristics of her using the program ( MATLAB )
were the results show that discrimination statistical help discrimination between
the images through the use of statistical characteristics

References

- J.Schurmann ( 1996), Pattern Classification :a Unified View of Statistical

and Neural Approaches,Jon Wiley and Sone ,New York.

- R.schalkoff(1992),Pattern Recognition :Statistical ,Structural ,and Neural

Approach ,JohnWiley and New York.

- K.Fukunage (1990) ,Introduction to Statistical Pattern

Recognition,2nded.Academic Press ,New York

- R.Hogg and A.Craig (1970 ). Introduction to Mathematical Statistics . the

Macmillan Company.

- W.Feller (1957) , An Introduction to Probability Theory and Is

Applications :VplsIandII,John Wiley @Sons.

Published

2025-01-13

How to Cite

رعد فاضل حسن, & فاضلة علي الطائي. (2025). Methods of distinguishing digital images using statistical distributions. Iraqi Journal for Administrative Sciences, 10(41), 58–65. Retrieved from https://mail.journals.uokerbala.edu.iq/index.php/ijas/article/view/2960