SVG Vectorization by Statistical Region Merging

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dc.contributor.authorBattiato, S.en_US
dc.contributor.authorFarinella, G. M.en_US
dc.contributor.authorPuglisi, G.en_US
dc.contributor.editorS. Battiato and G. Gallo and F. Stancoen_US
dc.date.accessioned2014-01-27T16:20:38Z
dc.date.available2014-01-27T16:20:38Z
dc.date.issued2006en_US
dc.description.abstractIn this paper a novel algorithm for raster to vector conversion is presented. The technique is mainly devoted to vectorize digital picture maintaining an high degree of photorealistic appearance specifically addressed to the human visual system. The algorithm makes use of an advanced segmentation strategy based on statistical region analysis together with a few ad-hoc heuristics devoted to track boundaries of segmented regions. The final output is rendered by Standard Vector Graphics. Experimental results confirm the effectiveness of the proposed approach both in terms of perceived and measured quality. Moreover, the final overall size of the vectorized images outperforms existing methods.en_US
dc.description.seriesinformation4th Eurographics Italian Chapter Conferenceen_US
dc.identifier.isbn3-905673-58-4en_US
dc.identifier.urihttps://doi.org/10.2312/LocalChapterEvents/ItalianChapConf2006/015-021en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectCategories and Subject Descriptors (according to ACM CCS): General Terms: Vectorization, Segmentation, SVG.en_US
dc.titleSVG Vectorization by Statistical Region Mergingen_US
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