Estudo de Detecção de Bordas em Imagens Usando Kernel

This paper presents an application of the kernel functions in the image edge detection problem. In Support Ve ctor Machines SVM, the kernels are a measure similarity class. Thus, an algorithm for edge detection with pixel-to-pixel a nalysis is proposed for two kernels, the Gaussian and the Polynomial kernel. Simulation results are presented to show its perfor mance. The results were considered satisfactory, given the choice of the kernel and the kernel parameter(s).