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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Hauptverfasser:	Bourgeois, Brian S, Walker, Charles L
Format:	Report
Sprache:	eng
Schlagworte:	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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Beschreibung
Zusammenfassung:	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.