Title :
Optimal texture filtering
Author :
Randen, Trygve ; Husoy, J.H.
Author_Institution :
Hogskolen i Stavanger, Norway
Abstract :
This paper deals with the design of a finite impulse response filter for optimal feature extraction in texture segmentation/classification. Motivated by the Fisher criterion, we develop techniques for optimal filter design. Posing some restrictions on the data, we are able to find a closed form solution to the problem, and we develop a unifying framework for this and several other approaches. We also show how the optimal filters may be designed, using less restrictive assumptions and a gradient search
Keywords :
FIR filters; feature extraction; filtering theory; image classification; image segmentation; image texture; optimisation; FIR filter; Fisher criterion; closed form solution; feature extraction; finite impulse response filter; gradient search; optimal filter design; optimal texture filtering; texture segmentation/classification; Closed-form solution; Design methodology; Feature extraction; Filtering; Gabor filters; IIR filters; Smoothing methods; Stochastic processes; World Wide Web;
Conference_Titel :
Image Processing, 1995. Proceedings., International Conference on
Conference_Location :
Washington, DC
Print_ISBN :
0-8186-7310-9
DOI :
10.1109/ICIP.1995.529724
