Title :
Texture segmentation using filters with optimized energy separation
Author :
Randen, Trygve ; Husøy, John Håkon
Author_Institution :
Schlumberger Geco-Prakla, Stavanger, Norway
fDate :
4/1/1999 12:00:00 AM
Abstract :
The design of filters for texture feature extraction is addressed. Based on a new feature extraction model, optimization approaches utilizing various feature (energy) separation criteria are developed. Both two- and multiple-texture problems are addressed. The approaches are assessed by supervised segmentation experiments. The experiments also include results from alternative filter optimization approaches
Keywords :
feature extraction; filtering theory; image recognition; image segmentation; image texture; optimisation; FIR filters; filter optimization; image texture segmentation; multiple-texture problem; optimization; optimized energy separation; supervised segmentation experiments; texture feature extraction; two-texture problem; Channel bank filters; Design optimization; Digital filters; Feature extraction; Filter bank; Finite impulse response filter; Gabor filters; IIR filters; Image segmentation; Image texture analysis;
Journal_Title :
Image Processing, IEEE Transactions on
