منابع مشابه
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 ...
متن کاملExtraction 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...
متن کاملPerceptual Grouping of Object Contours Survives Saccades
Human observers explore scenes by shifting their gaze from object to object. Before each eye movement, a peripheral glimpse of the next object to be fixated has however already been caught. Here we investigate whether the perceptual organization extracted from such a preview could guide the perceptual analysis of the same object during the next fixation. We observed that participants were indee...
متن کاملExtracting surfaces of revolution by perceptual grouping of ellipses
Ellipses seen in an image may be the 2 0 projection of 3 0 circles from the scene. Given this assumption, ellipses can be grouped into perceptual groups from which inferences about the 3 0 structure of objects can be made. In this paper methods are proposed for extracting groupings corresponding to surfaces of revolution. A Hough transform approach is used for grouping, after which the confiden...
متن کاملGrouping 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...
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ژورنال
عنوان ژورنال: Image and Vision Computing
سال: 1992
ISSN: 0262-8856
DOI: 10.1016/0262-8856(92)90002-k