International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 136 - Number 12 |
Year of Publication: 2016 |
Authors: Moulay Lhabib Elhadi, Mohammed Merzougui, Moulay Youssef Hadi, Abdelaziz Mouloudi |
10.5120/ijca2016908612 |
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
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.