Multiscale edge detection based on the Sobel method

The multiscale techniques for edge detection represent an effort to combine the spatial accuracy of small-scale methods with the ability to deal with spurious responses inherent to the large scale ones. In this work we introduce a multiscale extension of the Sobel method for edge detection based on Gaussian smoothing and fine-to-coarse edge tracking. We include examples illustrating the procedure and its results, as well as some quantitative measurements of the improvement obtained with the multiscale approach with respect to the original one.