Texture segmentation using filters with optimized energy separation

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 s...

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Bibliographic Details
Published in:IEEE transactions on image processing 1999, Vol.8 (4), p.571-582
Main Authors: Randen, T., Husoy, J.H.
Format: Article
Language:English
Subjects:
Applied sciences
Channel bank filters
Criteria
Design optimization
Digital filters
Energy use
Exact sciences and technology
Feature extraction
Filter bank
Finite impulse response filter
Gabor filters
IIR filters
Image processing
Image segmentation
Image texture analysis
Information, signal and communications theory
Optimization
Segmentation
Separation
Signal processing
Surface layer
Telecommunications and information theory
Texture
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Summary: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.
ISSN:1057-7149
1941-0042
DOI:10.1109/83.753744