A Fast Line Finder for Vision-Guided Robot Navigation
IEEE Transactions on Pattern Analysis and Machine Intelligence
Computerized Flow Field Analysis: Oriented Texture Fields
IEEE Transactions on Pattern Analysis and Machine Intelligence
Bayesian Segmentation via Asymptotic Partition Functions
IEEE Transactions on Pattern Analysis and Machine Intelligence
Learning Texture Discrimination Rules in a Multiresolution System
IEEE Transactions on Pattern Analysis and Machine Intelligence
Color texture analysis based on fractal descriptors
Pattern Recognition
Super-resolution texture synthesis using stochastic PAR/NL model
Journal of Visual Communication and Image Representation
Illuminant invariant descriptors for color texture classification
CCIW'13 Proceedings of the 4th international conference on Computational Color Imaging
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Many textures can be described structurally, in terms of the individual textural elements and their spatial relationships. This paper describes a system to generate useful descriptions of natural textures in these terms. The basic approach is to determine an initial, partial description of the elements using edge features. This description controls the extraction of the texture elements. The elements are grouped by type, and spatial relationships between elements are computed. The descriptions are shown to be useful for recognition of the textures, and for reconstruction of periodic textures.