Paper
16 September 1994 New texton encoder for rotation-invariant texture processing
Sharma V.R. Madiraju, Chih-Chiang Liu
Author Affiliations +
Proceedings Volume 2308, Visual Communications and Image Processing '94; (1994) https://doi.org/10.1117/12.186019
Event: Visual Communications and Image Processing '94, 1994, Chicago, IL, United States
Abstract
This paper presents a robust texture encoding technique for texture processing using a covariance-based approach. This encoder produces a texture code which is invariant to local and global textural rotations. Our proposed method uses six statistical features obtained from two rotation invariant local descriptors. The covariance technique is used to compute local descriptors and to index roughness, anisotropy, or general textural differences. Texture classification and segmentation is carried out to evaluate the proposed encoding scheme. Classification and segmentation results for synthetic and natural textures are presented to show the robustness of our method.
© (1994) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Sharma V.R. Madiraju and Chih-Chiang Liu "New texton encoder for rotation-invariant texture processing", Proc. SPIE 2308, Visual Communications and Image Processing '94, (16 September 1994); https://doi.org/10.1117/12.186019
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KEYWORDS
Image segmentation

Image classification

Computer programming

Feature extraction

Anisotropy

Autoregressive models

Image processing

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