Title :
A Topology Set Method for Vectorization
Author_Institution :
Qingdao Technol. Univ., Qingdao
fDate :
July 30 2007-Aug. 1 2007
Abstract :
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.
Keywords :
image segmentation; Barnode; Topology Set Method; Vectorization; binary patterns; geometric preservation; image segmentation technique; intrinsic behavior; topology set structure; Artificial intelligence; Computer networks; Data mining; Distributed computing; Image converters; Image segmentation; Network topology; Pixel; Shape; Software engineering; Image processing; pattern recognition; trapezoid block; vectorization.;
Conference_Titel :
Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing, 2007. SNPD 2007. Eighth ACIS International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-0-7695-2909-7
DOI :
10.1109/SNPD.2007.404