International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
|
Volume 136 - Issue 12 |
Published: February 2016 |
Authors: Moulay Lhabib Elhadi, Mohammed Merzougui, Moulay Youssef Hadi, Abdelaziz Mouloudi |
![]() |
Moulay Lhabib Elhadi, Mohammed Merzougui, Moulay Youssef Hadi, Abdelaziz Mouloudi . Detection of the Objects by the Cross-correlation. International Journal of Computer Applications. 136, 12 (February 2016), 23-27. DOI=10.5120/ijca2016908612
@article{ 10.5120/ijca2016908612, author = { Moulay Lhabib Elhadi,Mohammed Merzougui,Moulay Youssef Hadi,Abdelaziz Mouloudi }, title = { Detection of the Objects by the Cross-correlation }, journal = { International Journal of Computer Applications }, year = { 2016 }, volume = { 136 }, number = { 12 }, pages = { 23-27 }, doi = { 10.5120/ijca2016908612 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2016 %A Moulay Lhabib Elhadi %A Mohammed Merzougui %A Moulay Youssef Hadi %A Abdelaziz Mouloudi %T Detection of the Objects by the Cross-correlation%T %J International Journal of Computer Applications %V 136 %N 12 %P 23-27 %R 10.5120/ijca2016908612 %I Foundation of Computer Science (FCS), NY, USA
The recognition of shape is a method aiming the identification of the motives from raw data in order to take a decision depending on the category assigned to this motive. The method of motive detection by cross-correlation is a very efficient method in recognition of shape. Indeed, it permits to localize an object in an image. But, the value of the cross-correlation depends more of the level of gray of the image. In this article one proposes a solution of this inconvenience based on the Fourier Transform where by exploiting its phase for to localize an object while giving its position in the image.