A vectorization framework for constant and linear gradient filled regions
| LEADER | caa a22 4500 | ||
|---|---|---|---|
| 001 | 605541116 | ||
| 003 | CHVBK | ||
| 005 | 20210128100914.0 | ||
| 007 | cr unu---uuuuu | ||
| 008 | 210128e20150501xx s 000 0 eng | ||
| 024 | 7 | 0 | |a 10.1007/s00371-014-0997-3 |2 doi |
| 035 | |a (NATIONALLICENCE)springer-10.1007/s00371-014-0997-3 | ||
| 245 | 0 | 2 | |a A vectorization framework for constant and linear gradient filled regions |h [Elektronische Daten] |c [Ruchin Kansal, Subodh Kumar] |
| 520 | 3 | |a Linear gradients are commonly applied in non-photographic artwork for shading and other artistic effects. It is sometimes necessary to generate a vector graphics form of raster images comprising such artwork with the expectation to obtain a simple output and plug it into a traditional workflow, to be further edited and arranged. Many such workflows support only linear gradients and our goal is to generate a standard vector form of the image that can fit such workflow. This vectorization process should be automatic with minimal user intervention. We present a simple image vectorization algorithm that detects regions of linear gradient in potentially noisy images and reconstructs the vector definition on the basis of that information. It uses a novel interval gradient optimization scheme to derive large regions of uniform gradient. We also demonstrate the technique on noisy and hand-drawn portraits. | |
| 540 | |a Springer-Verlag Berlin Heidelberg, 2014 | ||
| 690 | 7 | |a Image vectorization |2 nationallicence | |
| 690 | 7 | |a Gradient reconstruction |2 nationallicence | |
| 690 | 7 | |a Region detection |2 nationallicence | |
| 700 | 1 | |a Kansal |D Ruchin |u IIT, Delhi, Delhi, India |4 aut | |
| 700 | 1 | |a Kumar |D Subodh |u IIT, Delhi, Delhi, India |4 aut | |
| 773 | 0 | |t The Visual Computer |d Springer Berlin Heidelberg |g 31/5(2015-05-01), 717-732 |x 0178-2789 |q 31:5<717 |1 2015 |2 31 |o 371 | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/s00371-014-0997-3 |q text/html |z Onlinezugriff via DOI |
| 898 | |a BK010053 |b XK010053 |c XK010000 | ||
| 900 | 7 | |a Metadata rights reserved |b Springer special CC-BY-NC licence |2 nationallicence | |
| 908 | |D 1 |a research-article |2 jats | ||
| 949 | |B NATIONALLICENCE |F NATIONALLICENCE |b NL-springer | ||
| 950 | |B NATIONALLICENCE |P 856 |E 40 |u https://doi.org/10.1007/s00371-014-0997-3 |q text/html |z Onlinezugriff via DOI | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Kansal |D Ruchin |u IIT, Delhi, Delhi, India |4 aut | ||
| 950 | |B NATIONALLICENCE |P 700 |E 1- |a Kumar |D Subodh |u IIT, Delhi, Delhi, India |4 aut | ||
| 950 | |B NATIONALLICENCE |P 773 |E 0- |t The Visual Computer |d Springer Berlin Heidelberg |g 31/5(2015-05-01), 717-732 |x 0178-2789 |q 31:5<717 |1 2015 |2 31 |o 371 | ||