Element grouping with parabolic contours

Extracting contours by perceptual grouping

A new contour extraction method is described in this paper. It is based on organization of the image data using perceptual grouping rules. and is therefore largely domain independent. The first step is to form an intermediate line segment representation of the contours by grouping edge points in paraBe and at different re~so~ution.s, The main feature of the hne .segn~ent extra~ti[~n process is ...

Convexity Grouping of Salient Contours

Extraction of Illusory Contours by Perceptual Grouping

The detection of arbitrary objects in images is still a major challenge in image processing. Many approaches rely on the robust extraction of contours. Object contours, however, are frequently occluded by other objects. How can one deal with this problem? One important source for inspirations in such diicult situations is the human visual system. There are several systems that describe the earl...

Grouping Contours Via a Related Image

Contours have been established in the biological and computer vision literature as a compact yet descriptive representation of object shape. While individual contours provide structure, they lack the large spatial support of region segments (which lack internal structure). We present a method for further grouping of contours in an image using their relationship to the contours of a second, rela...

Grouping Contours by Iterated Pairing Network

We describe in this paper a network that performs grouping of image contours. The input to the net are fragments of image contours, and the output is the partitioning of the fragments into groups, together with a saliency measure for each group. The grouping is based on a measure of overall length and curvature. The network decomposes the overall optimization problem into independent optimal pa...