Two-dimensional fourier series-based model for nonminimum-phase linear shift-invariant systems and texture image classification

IEEE Transactions on Signal Processing

Volumn 50, Issue 4, 2002, Pages 945-955

  Chen, Chii Horng ^a   Chi, Chong Yung ^a,b   Chen, Ching Yung ^a  

^a IEEE   (Taiwan)

^b NATIONAL TSING HUA UNIVERSITY   (Taiwan)

Author keywords

2 D Fourier series based model; 2 D non Gaussian signals; 2 D nonminimum phase linear shift invariant systems; Higher order statistics

Indexed keywords

TEXTURE IMAGE CLASSIFICATION;

ALGORITHMS; APPROXIMATION THEORY; COMPUTER SIMULATION; FOURIER OPTICS; ITERATIVE METHODS; PHASE SHIFT; STATISTICS;

IMAGE PROCESSING;

EID: 0036538391     PISSN: 1053587X     EISSN: None     Source Type: Journal    
DOI: 10.1109/78.992144     Document Type: Article

References (23)

1. Texture classification using features derived from random field models
2. Estimation and choice of neighbors in spatial-interaction models of images
3. Classification of texture using Gaussian Markov random fields
4. 2-D moving average models for texture synthesis and analysis
5. Estimation of linear parametric models of nonGaussian discrete random fields with application to texture synthesis
6. Image modeling using inverse filtering criteria with application to textures
7. Bispectral analysis and model validation of texture images
8. Object and texture classification using higher order statistics
9. Two-dimensional frequency domain blind system identification using higher order statistics with application to texture synthesis
10. Linear modeling of multidimensional non-Gaussian processes using cumulants
11. Fourier series based nonminimum phase model for second-and higher-order statistical signal processing
12. Fourier series based nonminimum phase model for statistical signal processing
13. On the performance of isolated word speech recognizers using vector quantization and temporal energy contours
14. Parametric cumulant based phase estimation of 1-D and 2-D nommnimum phase systems by allpass filtering
15. A unifying maximum-likelihood view of cumulant and polyspectral measures for non-Gaussian signal classification and estimation
16. Identification and deconvolution of multichannel linear non-Gaussian processes using higher order statistics and inverse filter criteria
17. Bibliography on higher-order statistics