Detecting Edge Using Support Vector Machine

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The edge detection is used in many applications in image processing. It is currently crucial technique of image processing. There are various methods for promoting edge detection. Here, it is presented that edge detection can be achieved using Support Vector Machine (SVM). Supervised learning method is applied. Laplacian edge detector is an instructor of Support Vector Machine. In this research, it is presented that any classical method can be applied for training of SVM as edge detector.

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Periodical:

Advanced Materials Research (Volumes 588-589)

Edited by:

Lawrence Lim

Pages:

974-977

Citation:

J. P. Yeh, "Detecting Edge Using Support Vector Machine", Advanced Materials Research, Vols. 588-589, pp. 974-977, 2012

Online since:

November 2012

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$38.00

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