The week's pick
Reseach Article
Edge Detection for Objects in the Upper Triangle Gray Scale Image by Cholesky Decomposition and Unsharp Masking (USM)
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 85 - Number 6 |
| Year of Publication: 2014 |
| Authors: Hind Rostom Mohamed Shaban, Ameer Mohammad Husain |
10.5120/14842-3020
|
Hind Rostom Mohamed Shaban, Ameer Mohammad Husain . Edge Detection for Objects in the Upper Triangle Gray Scale Image by Cholesky Decomposition and Unsharp Masking (USM). International Journal of Computer Applications. 85, 6 ( January 2014), 1-5. DOI=10.5120/14842-3020
Abstract
In this paper , we propose an efficient and effective method for Edge detection for objects in the upper triangle Gray Scale Image . The optimal Edge detection discriminative features of gray scale images are obtained by performing Cholesky decomposition , which could be implemented using the edge existing algorithm. We approach also yields the size of the symmetry region without additional computational effort . Experiments showed that the proposed algorithm could generate a path one pixel wide with continuous edges, and the proposed algorithm had a better edge-detection accuracy than others techniques. Therefore, the proposed edge-detection algorithm is feasible for use in automatic visual inspection systems .
References
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- Nils T Siebel, Sven Grunewald, Gerald Sommer " Creating Edge Detectors by Evolutionary Reinforcement Learning " IEEE Congress on Evolutionary Computation (IEEE World Congress on Computational Intelligence) Year: 2008 Pages: 3553-3560
- http://en. wikipedia. org/wiki/Unsharp_masking
- http://users. cecs. anu. edu. au/~trumpf/UH60Festschrift. pdf.
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