Paper
27 February 1996 Texture classification based upon spatial autocorrelation
Ahmed Bounekkar, Michel P. Lamure, Nicolas Nicoloyannis
Author Affiliations +
Proceedings Volume 2727, Visual Communications and Image Processing '96; (1996) https://doi.org/10.1117/12.233234
Event: Visual Communications and Image Processing '96, 1996, Orlando, FL, United States
Abstract
In this paper, we propose a method of texture classification based upon contiguity concepts and Moran's spatial autocorrelation coefficient. First, we introduce essential concepts about contiguity and Moran's coefficient (section 2 and section 3). Then, we are able to propose a classification of a set with 30 textures based on computation of those Moran's coefficients (section 4). We discuss obtained results.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Ahmed Bounekkar, Michel P. Lamure, and Nicolas Nicoloyannis "Texture classification based upon spatial autocorrelation", Proc. SPIE 2727, Visual Communications and Image Processing '96, (27 February 1996); https://doi.org/10.1117/12.233234
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KEYWORDS
Image classification

Chromium

Information visualization

Statistical analysis

Binary data

Lithium

Matrices

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