Title :
Statistical texture image classification using two-dimensional nonminimum-phase Fourier series based model
Author :
Chen, Chii-Horng ; Chi, Chong-Yung
Author_Institution :
Dept. of Electr. Eng., Nat. Tsing Hua Univ., Hsinchu, Taiwan
Abstract :
Using the 2-D extension of Chi´s real 1-D parametric nonminimum-phase Fourier series based model (FSBM) for or as an approximation to any arbitrary nonminimum-phase linear time-invariant (LTI) systems, we propose a system identification algorithm for 2-D nonminimum-phase linear shift-invariant (LSI) systems supported by some simulation results. The estimated 2-D FSBM parameters and second- and higher-order statistics obtained using the proposed algorithm constitute effective features for texture image classification supported by some experimental results
Keywords :
Fourier series; higher order statistics; image classification; image texture; parameter estimation; statistical analysis; 2-D FSBM parameters; 2-D nonminimum-phase LSI systems; Fourier series based model; LTI system; higher-order statistics; linear shift-invariant systems; nonminimum-phase linear time-invariant system; second-order statistics; statistical texture image classification; system identification algorithm; texture image classification; two-dimensional nonminimum-phase Fourier series; Approximation algorithms; Electronic mail; Fourier series; Image classification; Large scale integration; Parameter estimation; Parametric statistics; Signal processing; Signal processing algorithms; System identification;
Conference_Titel :
Higher-Order Statistics, 1999. Proceedings of the IEEE Signal Processing Workshop on
Conference_Location :
Caesarea
Print_ISBN :
0-7695-0140-0
DOI :
10.1109/HOST.1999.778767
