Stipple Placement using Distance in a Weighted Graph

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Date
2007
Journal Title
Journal ISSN
Volume Title
Publisher
The Eurographics Association
Abstract
We present a stipple placement method which provides extra emphasis to image features, especially edges. Our algorithm transforms an image into a regular graph, with edge weights given by the local gradient magnitude of the input image. Then, a variant of Disjkstra s algorithm is used to place stipples: new stipples are placed along the frontier, which tends to be aligned with image edges. The resulting stipple distribution approximates a blue noise distribution, but emphasizes edges from the input image. We also show how irregular mosaics can be organized and the mosaic tiles shaped using the same underlying mechanism.
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@inproceedings{
:10.2312/COMPAESTH/COMPAESTH07/045-052
, booktitle = {
Computational Aesthetics in Graphics, Visualization, and Imaging
}, editor = {
Douglas W. Cunningham and Gary Meyer and Laszlo Neumann
}, title = {{
Stipple Placement using Distance in a Weighted Graph
}}, author = {
Mould, David
}, year = {
2007
}, publisher = {
The Eurographics Association
}, ISSN = {
1816-0859
}, ISBN = {
978-3-905673-43-2
}, DOI = {
/10.2312/COMPAESTH/COMPAESTH07/045-052
} }
Citation