Title: | A framework for detection of linear gradient filled regions and their reconstruction for vector graphics |
Authors: | Kansal, Ruchin Kumar, Subodh |
Citation: | WSCG 2013: Communication Papers Proceedings: 21st International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision in co-operation with EUROGRAPHICS Association, p. 220-229. |
Issue Date: | 2013 |
Publisher: | Václav Skala - UNION Agency |
Document type: | konferenční příspěvek conferenceObject |
URI: | http://wscg.zcu.cz/WSCG2013/!_2013-WSCG-Communications-proceedings.pdf http://hdl.handle.net/11025/10666 |
ISBN: | 978-80-86943-75-6 |
Keywords: | vektorizace obrazu;rekonstrukce gradientu;vektorová grafika |
Keywords in different language: | image vectorization;gradient reconstruction;vector graphics |
Abstract: | Linear gradients are commonly applied in non-photographic art-work for shading and other artistic effects. It is sometimes necessary to generate a vector graphics form of raster images comprising such art-work with the expectation to obtain a simple output that is further editable, say, using any popular vector editing software. Further, this vectorization process should be automatic with minimal user intervention. We present a simple image vectorization algorithm that meets these requirements by detecting linear gradient filled regions and reconstructing the vector definition using that information. It uses a novel interval gradient optimization scheme to derive large regions of uniform gradient. We also demonstrate the technique on noisy images. |
Rights: | © Václav Skala - UNION Agency |
Appears in Collections: | WSCG 2013: Communication Papers Proceedings |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Kansal.pdf | Plný text | 3,76 MB | Adobe PDF | View/Open |
Please use this identifier to cite or link to this item:
http://hdl.handle.net/11025/10666
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