Edge Detection using Mean Shift Smoothing
نویسنده
چکیده
Edges characterize boundaries, which define the important structural properties of an image. Therefore edge detection is a problem of fundamental importance in image processing; many tasks in image processing, to be performed successfully, depend on a reliable edge detection mechanism. Edges in images are areas with strong intensity contrasts – a jump in intensity from one pixel to its neighbor. There are many ways to perform edge detection, most of which are based on calculating some sort of a numeric estimation of the intensity map gradient, and finding local maxima points, or zero crossing of the divergence of this gradient.
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