Bayesian segmentation of AM-FM texture images

Conference Record of the Asilomar Conference on Signals, Systems and Computers

Volumn 2, Issue , 2001, Pages 1156-1160

  Yap, T B ^a   Havlicek, J P ^a   DeBrunner, V ^a  

^a UNIVERSITY OF OKLAHOMA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AMPLITUDE MODULATION; COMPUTER SIMULATION; FREQUENCY MODULATION; MAXIMUM LIKELIHOOD ESTIMATION; VECTORS;

BAYESIAN SEGMENTATION; TEXTURE IMAGES;

IMAGE SEGMENTATION;

EID: 0035574914     PISSN: 10586393     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/acssc.2001.987673     Document Type: Conference Paper

References (23)

1. Oriented texture completion by AM-FM reaction-diffusion
2. CLUSTER: An unsupervised algorithm for modeling Gaussian mixtures
3. A multiscale random field model for bayesian image segmentation
4. Multichannel texture analysis using localized spatial filters
5. Localized measurement of emergent image frequencies by gabor wavelets
6. Stereoscopic ranging by matching image modulations
7. Texture discrimination using a model of visual cortex
8. Estimation of amplitude and phase parameters of multicomponent signals
9. The evolution of modern texture processing
10. The multi-component AM-FM image representation
11. Multidimensional quasi-eigenfunction approximations and multicomponent AM-FM models
12. Skewed 2D hilbert transforms and computed AM-FM models
13. An evaluation of the two-dimensional Gabor model of simple receptive fields in cat striate cortex
14. Nonlinear modeling and processing of speech based on sums of AM-FM formant models
15. Image demodulation using multidimensional energy separation
16. Energy separation in signal modulations with applications to speech analysis
17. Finding salient regions in images
18. A universal prior for integers and estimation by minimum description length
19. Shape from texture using local spectral moments
20. AM-FM image segementation
21. Modulation domain image segmentation
22. Relationship between spatial-frequency and orientation tuning of striate-cortex cells
23. Unsupervised texture segmentation using dominant image modulations