NDLI: Adaptive Pseudo Dilation for Gestalt Edge Grouping and Contour Detection

Content Provider	IEEE Xplore Digital Library
Author	Papari, G. Petkov, N.
Copyright Year	1992
Abstract	We consider the problem of detecting object contours in natural images. In many cases, local luminance changes turn out to be stronger in textured areas than on object contours. Therefore, local edge features, which only look at a small neighborhood of each pixel, cannot be reliable indicators of the presence of a contour, and some global analysis is needed. We introduce a new morphological operator, called adaptive pseudo-dilation (APD), which uses context dependent structuring elements in order to identify long curvilinear structure in the edge map. We show that grouping edge pixels as the connected components of the output of APD results in a good agreement with the Gestalt law of good continuation. The novelty of this operator is that dilation is limited to the Voronoi cell of each edge pixel. An efficient implementation of APD is presented. The grouping algorithm is then embedded in a multithreshold contour detector. At each threshold level, small groups of edges are removed, and contours are completed by means of a generalized reconstruction from markers. The use of different thresholds makes the algorithm much less sensitive to the values of the input parameters. Both qualitative and quantitative comparison with existing approaches prove the superiority of the proposed contour detector in terms of larger amount of suppressed texture and more effective detection of low-contrast contours.
Sponsorship	IEEE Signal Processing Society
Page Count	13
File Size	4578542
Starting Page	1950
Ending Page	1962
File Format	PDF
ISSN	10577149
Volume Number	17
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Image edge detection Object detection Tensile stress Detectors Image analysis Humans Visual system Voting Image reconstruction Computer applications morphological analysis methods Edge and boundary detection Gestalt grouping
Content Type	Text
Resource Type	Article
Subject	Computer Graphics and Computer-Aided Design Software

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