Bas-Relief Generation Using Adaptive Histogram Equalization

An algorithm is presented to automatically generate bas-reliefs based on adaptive histogram equalization (AHE), starting from an input height field. A mesh model may alternatively be provided, in which case a height field is first created via orthogonal or perspective projection. The height field is...

Celý popis

Uloženo v:
Podrobná bibliografie
Vydáno v:IEEE transactions on visualization and computer graphics Ročník 15; číslo 4; s. 642 - 653
Hlavní autoři: Xianfang Sun, Rosin, P.L., Martin, R.R., Langbein, F.C.
Médium: Journal Article
Jazyk:angličtina
Vydáno: United States IEEE 01.07.2009
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
ISSN:1077-2626, 1941-0506
On-line přístup:Získat plný text
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
Popis
Shrnutí:An algorithm is presented to automatically generate bas-reliefs based on adaptive histogram equalization (AHE), starting from an input height field. A mesh model may alternatively be provided, in which case a height field is first created via orthogonal or perspective projection. The height field is regularly gridded and treated as an image, enabling a modified AHE method to be used to generate a bas-relief with a user-chosen height range. We modify the original image-contrast-enhancement AHE method to use gradient weights also to enhance the shape features of the bas-relief. To effectively compress the height field, we limit the height-dependent scaling factors used to compute relative height variations in the output from height variations in the input; this prevents any height differences from having too great effect. Results of AHE over different neighborhood sizes are averaged to preserve information at different scales in the resulting bas-relief. Compared to previous approaches, the proposed algorithm is simple and yet largely preserves original shape features. Experiments show that our results are, in general, comparable to and in some cases better than the best previously published methods.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
content type line 23
ObjectType-Article-2
ObjectType-Feature-1
ISSN:1077-2626
1941-0506
DOI:10.1109/TVCG.2009.21