Texture classification by multi-model feature integration using Bayesian networks
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International Journal of Computer Vision - Special Issue on Texture Analysis and Synthesis
Texture classification using sparse frame-based representations
EURASIP Journal on Applied Signal Processing
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CAIP'11 Proceedings of the 14th international conference on Computer analysis of images and patterns - Volume Part II
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This paper describes a method for synthesizing images that match the texture appearance of a given digitized sample. This synthesis is completely automatic and requires only the "target" texture as input. It allows generation of as much texture as desired so that any object can be covered. The approach is based on a model of human texture perception, and has potential to be a practically useful tool for image processing and graphics applications.