Name
Title | ||
|---|---|---|
Multi-resolution texture analysis of self-similar textures using hierarchical Gaussian Markov random field models |
Abstract | ||
|---|---|---|
Modeling textures using Gaussian Markov random fields (GMRF) has been successfully used in classifying textures. However, these models do not perform well for self-similar textures such as those generated from fractional Brownian motion. The authors show that by using the difference images at different scales instead of the original image, one can significantly increase the performance of classifying self-similar texture patterns using GMRF models |
Year | DOI | Venue |
|---|---|---|
1994 | 10.1109/ICIP.1994.413815 | ICIP |
Keywords | Field | DocType |
brownian motion,image classification,radiography,fractals,image texture,markov processes,image resolution,biomedical imaging,gaussian processes,random processes,stochastic processes,fractional brownian motion,performance,classification | Computer vision,Markov process,Pattern recognition,Computer science,Image texture,Fractal,Stochastic process,Gaussian process,Artificial intelligence,Contextual image classification,Image resolution,Fractional Brownian motion | Conference |
Volume | ISBN | Citations |
3 | 0-8186-6952-7 | 0 |
PageRank | References | Authors |
0.34 | 4 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Jagath Samarabandu | 1 | 133 | 20.50 |
| Raj Acharya | 2 | 347 | 55.42 |