Name
Title | ||
|---|---|---|
A new stochastic image model based on Markov random fields and its application to texture modeling |
Abstract | ||
|---|---|---|
Stochastic image modeling based on conventional Markov random fields is extensively discussed in the literature. A new stochastic image model based on Markov random fields is introduced in this paper which overcomes the shortcomings of the conventional models easing the computation of the joint density function of images. As an application, this model is used to generate texture patterns. The lower computational complexity and easily controllable parameters of the model makes it a more useful model as compared to the conventional Markov random field-based models. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICASSP.2011.5946646 | Acoustics, Speech and Signal Processing |
Keywords | Field | DocType |
Markov processes,computational complexity,image texture,random processes,Markov random field,computational complexity,joint density function,stochastic image modeling,texture modeling,texture pattern generation,Markov random field,Stochastic image models,image joint density function,texture modeling | Markov process,Random field,Maximum-entropy Markov model,Pattern recognition,Markov property,Markov random field,Markov model,Computer science,Markov chain,Artificial intelligence,Variable-order Markov model | Conference |
ISSN | ISBN | Citations |
1520-6149 E-ISBN : 978-1-4577-0537-3 | 978-1-4577-0537-3 | 4 |
PageRank | References | Authors |
0.55 | 7 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Siamak Yousefi | 1 | 86 | 13.41 |
| Nasser D. Kehtarnavaz | 2 | 534 | 66.02 |