Paper
24 November 2002 Region-Enclosing Contours from Edge Pixels
Author Affiliations +
Abstract
In the fields of digital image processing, computer vision and pattern recognition, the application of edge detection algorithms is important for the extraction of multiple touching regions in images. However, the enclosure of the regions with discrete contours is not straightforward in general. A novel region-enclosing contour method is therefore proposed in this paper. Topics such as (dilated) contour enclosure of edge pixels in 2D binary images, geometric thinning (skeletonization) of shapes, gap closure in contour networks, and down-sampling of contour supporting point sets are discussed and new techniques are proposed for the first time. Most of the newly found techniques depend heavily on the application of a Delaunay tessellation. The resulting set of novel shape processing tools is applied here to an image taken from a metal surface in electron backscattered diffraction experiments in order to provide an accurate characterization of grain boundaries.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bernd R. Schlei "Region-Enclosing Contours from Edge Pixels", Proc. SPIE 4794, Vision Geometry XI, (24 November 2002); https://doi.org/10.1117/12.452361
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CITATIONS
Cited by 3 scholarly publications and 1 patent.
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KEYWORDS
Image processing

Image segmentation

Binary data

Diffraction

Metals

Aluminum

Detection and tracking algorithms

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