International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
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Volume 85 - Issue 6 |
Published: January 2014 |
Authors: Hind Rostom Mohamed Shaban, Ameer Mohammad Husain |
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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
@article{ 10.5120/14842-3020, author = { Hind Rostom Mohamed Shaban,Ameer Mohammad Husain }, title = { Edge Detection for Objects in the Upper Triangle Gray Scale Image by Cholesky Decomposition and Unsharp Masking (USM) }, journal = { International Journal of Computer Applications }, year = { 2014 }, volume = { 85 }, number = { 6 }, pages = { 1-5 }, doi = { 10.5120/14842-3020 }, publisher = { Foundation of Computer Science (FCS), NY, USA } }
%0 Journal Article %D 2014 %A Hind Rostom Mohamed Shaban %A Ameer Mohammad Husain %T Edge Detection for Objects in the Upper Triangle Gray Scale Image by Cholesky Decomposition and Unsharp Masking (USM)%T %J International Journal of Computer Applications %V 85 %N 6 %P 1-5 %R 10.5120/14842-3020 %I Foundation of Computer Science (FCS), NY, USA
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 .