International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 75 - Number 6 |
Year of Publication: 2013 |
Authors: Hanane Rami, Mohammed Hamri, Lhoussiene Masmoudi |
10.5120/13114-0448 |
Hanane Rami, Mohammed Hamri, Lhoussiene Masmoudi . Color Edge Detector with Sobel-PCA. International Journal of Computer Applications. 75, 6 ( August 2013), 12-16. DOI=10.5120/13114-0448
Edge detection is one of the most commonly used operations in computer vision, The key of edge detection is the choice of threshold; the choice of threshold directly determines the results of edge detection. How to automatically determine an optimal threshold is one of difficult points of edge detection. In this paper, Sobel edge detection operator and its improved algorithm are first discussed in term of optimal thresholding. We include color information into a color edge detection approach based on principal components analysis (PCA). Finally, the edge detection experiments of synthetic image and real color images are conducted by means of two algorithms. The comparative experiment results show that the new algorithm is very effective. The results are also better than the classical methods.