Gaussian Three-Dimensional kernel SVM for Edge Detection Applications

Gaussian Three-Dimensional kernel SVM for Edge Detection Applications

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Part of #Gaussian Three-Dimensional kernel SVM for Edge Detection Applications# :

Publishing year : 2015

Conference : International Conference on New Research Findings in Electrical Engineering and Computer Science

Number of pages : 7

Abstract: This paper presents a novel and uniform algorithm for edge detection based on SVM (support vector machine) with a three-dimensional Gaussian radial basis function with a kernel. Because of the disadvantages in the traditional edge detection, such as inaccurate edge location, rough edge and careless detection of soft edge. The experimental results indicate how the SVM can detect the edge in an efficient way. The performance of the proposed algorithm is compared with existing methods, including Sobel and canny detectors. The results show that this method is better than a classical algorithm such as canny and sobel detector