Survey of Texture Segmentation, Classification, and Synthesis Methods

This report reviews the literature in the areas of image texture segmentation, classification, and synthesis methods. The approaches to these areas are grouped into areas of fractal, spline, neural networks, modeling, and stochastic methods. An immense amount of literature was reviewed, and techniqu...

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Bibliographic Details
Main Authors: Bourgeois, Brian S, Walker, Charles L
Format: Report
Language:English
Subjects:
Acoustic Detection and Detectors
ACOUSTIC IMAGES
APPROACH
BATHYMETRY
CLASSIFICATION
CLOUDS
ECONOMICS
FRACTALS
HYDROGRAPHY
IMAGE PROCESSING
METHODOLOGY
NETWORKS
NEURAL NETS
Numerical Mathematics
OPTICAL PROPERTIES
SIDE LOOKING SONAR
SONAR IMAGES
SPLINES
SYNTHESIS
TERRAIN
TEXTURE
TIDES
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Summary:This report reviews the literature in the areas of image texture segmentation, classification, and synthesis methods. The approaches to these areas are grouped into areas of fractal, spline, neural networks, modeling, and stochastic methods. An immense amount of literature was reviewed, and techniques with the most merit are presented. From the review it appears that no single approach provides a robust texture analysis methodology without requiring overwhelming complexity. It seems that the best approach to the problem may be to use a variety of these methods in the simplest and most computationally economic forms.