Edge Postprocessing - A Comparative Study
Edwin R. Hancock, Josef Kittler · 1989
The use of contextual information is a vital ingredient in the successful postprocessing of edge information. Edge postprocessing is concerned with locating and labelling consistent edge-structures given confused or noisy response information. The available contextual information exists in the form of measurements provided by the gradient-vectors in pixel neighbourhoods and knowledge textual labelling schemes can be profitably applied to the edge-detection problem. Our aim in this paper is of acceptable edge structure which is expressed symboli- to stress the conceptual differences between the way in cally. We compare various approaches to the use of this information. Robust edge detection has been a goal of computer vision for almost three decades. Edge-detection algorithms reported in the literature are invariably multistage.