High-scale edge study for segmentation and contour closing in textured or noisy images

When they are used in a high-scale way, the edge detectors based on Canny's approach provide edges which are well localized in non-noisy and non-textured areas of the image, but which are too numerous in other areas. The aim of this paper is to study these high-scale edges, especially their local density. High-scale edges are studied by the way of features which characterize various situations such as texture areas, contours corresponding to object frontiers with or without noise. Such features may even characterize various textures. These features may be used to build a map of textured/noisy areas and then to perform a segmentation method cooperation. Another application is the contour closing, using distances between textures.