A New and Improved Edge Detector Using the Support Vector Machines
نویسندگان
چکیده
In this paper, a new method for edge detection based on Support Vector Machines (SVM) is presented. This method improves our previous work in edge detection with SVM by reducing the execution time and upgrading the visual quality. Our work shows that a new training technique with a reduced set of vectors maintains the edge detection quality and then reduces the number of needed support vectors. Also, we show that in this task the use of a transformation is not necessary and the linear SVM can be used. The increased speed allows the increment of the window size when exploring the images and then the quality of the edge detection is improved. Key-Words: Edge detection, Support Vector Machines, Image processing, Learning methods, Segmentation.
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