1 July 2002 Well-shaped skeletons and fast computation of the (3,4) distance transform
David A. Goldman, Nikolaos G. Bourbakis
Author Affiliations +
In this paper we describe a time efficient approach for computing the (3,4) distance transform and a method of producing intuitively well-shaped nonsensitive skeletons. The need and usefulness of abstracting both skeletal and distance transform information have been demonstrated in various earlier work. However, the approach presented here is intended to overcome several weaknesses while possibly permitting real-time computation on low-cost single or multiprocessor systems for applications such as video processing. Specifically, an incremental improvement to Kwok’s thinning algorithm is presented which allows the distance transform to be computed during thinning using significantly fewer addition and comparison operations. Additionally, efficient techniques are given which then further process the resultant skeleton using the computed distance transform information as well as information gathered about the surrounding chain codes. These techniques efficiently remove various skeletal artifacts, leaving well-shaped graph representations annotated with distance transform values.
©(2002) Society of Photo-Optical Instrumentation Engineers (SPIE)
David A. Goldman and Nikolaos G. Bourbakis "Well-shaped skeletons and fast computation of the (3,4) distance transform," Journal of Electronic Imaging 11(3), (1 July 2002). https://doi.org/10.1117/1.1479704
Published: 1 July 2002
Lens.org Logo
CITATIONS
Cited by 2 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image processing

Raster graphics

Image segmentation

Distortion

Windows NT

Computer programming

Floods

RELATED CONTENT

Fast and efficient fractal image compression algorithm
Proceedings of SPIE (September 25 1998)
Vector quantization of images based on Peano scanning
Proceedings of SPIE (September 25 1998)
Combined Peano scan and VQ approach to image compression
Proceedings of SPIE (April 08 1993)
Geometric methods for wavelet-based image compression
Proceedings of SPIE (November 13 2003)

Back to Top