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dc.contributor.authorBorovec, Jiří
dc.contributor.authorKybic, Jan
dc.date.accessioned2014-12-11T09:23:47Z
dc.date.available2014-12-11T09:23:47Z
dc.date.issued2014
dc.identifier.citationBOROVEC, J. - KYBIC, J.: jSLIC : superpixels in ImageJ. In CVWW2014: Proceedings of the 19th Computer Vision Winter Workshop. Praha: Czech Society for Cybernetics and Informatics, 2014, p. 14-18. ISBN 978-80-260-5641-6.eng
dc.identifier.isbn978-80-260-5641-6
dc.identifier.urihttp://hdl.handle.net/10467/60967
dc.description.abstractThis paper presents the implementation and particular improvements on the superpixel clustering algorithm - SLIC (Simple Linear Iterative Clustering). The main contribution of the jSLIC is a significant speed-up of the original clustering method, transforming the compactness parameter such that the value is image independent, and a new post-processing step (after clustering) which now gives more reliable superpixels - the newly established segments are more homogeneous. The improvements of speed and quality are shown on real images. We implemented the new jSLIC in Java and made the source code publicly available. Also we created a plug-in in ImageJ/Fiji which is commonly used as a research and development platform in biology and medical imaging.eng
dc.language.isoencze
dc.publisherCzech Society for Cybernetics and Informaticseng
dc.subjectResearch Subject Categories::TECHNOLOGY::Electrical engineering, electronics and photonicseng
dc.titlejSLIC : superpixels in ImageJeng
dc.typeArticleeng


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