##plugins.themes.bootstrap3.article.main##

Abdul Salam Taha Hussain N. E. Berrached

Abstract

To recognise an object many problems must be solved and many assumptions must be made. These assumptions include the image has 2 grey levels, the object surfaces are smooth and there is no shadow.
The aim is 2D objects recognition, the problems to be solved are; size changing, translation, rotation and noise effects as well as the deformation of shape. We are using this approach; the application is invariant auto correlation. This method has solved the sensitivity to noise can be generated by the imaging devices
or by the usage of the digital images by the computers

Downloads

Download data is not yet available.

##plugins.themes.bootstrap3.article.details##

Section
Computer Science
How to Cite
Hussain, A. S. T., & Berrached, N. E. (2014). Objects Recognition by Invariant Auto Correlation. Journal of Science and Technology, 9(1). https://doi.org/10.20428/jst.v9i1.102