Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007)
A Topology Set Method for Vectorization
Haier International Training Center, Qingdao, China
July 30-August 01
ISBN: 0-7695-2909-7
A topology set structure is a powerful image segmentation technique, it has advantages over individual pixels due to its intrinsic behavior, retrieval of colony characteristic of related pixels, shape independence, and ease of implementation. In this paper, we present a new method of topology model designed using Barnode, which achieves geometric preservation by collecting the pixels from binary patterns. The Barnodes are divided into several types from which the element features, and its distributions are extracted and concatenated into several enhanced feature links, formed a topology set structure. Several experiments on simulated and real data are provided to demonstrate the performance of the algorithm.
Index Terms:
Image processing, pattern recognition, trapezoid block, vectorization.
Citation:
Jinhe Wang, "A Topology Set Method for Vectorization," snpd, vol. 1, pp.229-234, Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), 2007