Title :
Autoregressive modelling through joint and weighted second and third order statistics
Author :
Stathaki, P.T. ; Constantinides, A.G.
Author_Institution :
Signal Process. Sect., Imperial Coll. of Sci., Technol. & Med., London, UK
Abstract :
In this paper the problem of texture image analysis in the presence of noise is examined from a higher-order statistical perspective. The objective is to develop analysis techniques through which robust texture characteristics are extracted. The approach taken involves the use of autoregressive models derived from joint second and third order cumulants. The paper describes the fundamental issues of the various components of the approach
Keywords :
image texture; statistical analysis; stochastic processes; time series; autoregressive modelling; autoregressive models; noise; robust texture characteristics; second order cumulants; third order cumulants; weighted second order statistics; weighted third order statistics; Educational institutions; Gaussian noise; Higher order statistics; Image color analysis; Image texture analysis; Noise robustness; Quadratic programming; Signal processing; Stability; Statistical analysis;
Conference_Titel :
Speech, Image Processing and Neural Networks, 1994. Proceedings, ISSIPNN '94., 1994 International Symposium on
Print_ISBN :
0-7803-1865-X
DOI :
10.1109/SIPNN.1994.344908
