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Proceedings Paper

Textural image classification using variograms
Author(s): John A. MacDonald; Fernando P. Miranda; James R. Carr
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Paper Abstract

A method of image classification based on image texture is presented. Texture analysis is performed using the variogram function. The classifier used is a supervised parallelepiped type classifier using a minimum distance to mean check for overlapping classifications.

Paper Details

Date Published: 1 November 1990
PDF: 15 pages
Proc. SPIE 1301, Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences, (1 November 1990); doi: 10.1117/12.21411
Show Author Affiliations
John A. MacDonald, Univ. of Nevada/Reno (United States)
Fernando P. Miranda, Univ. of Nevada/Reno (United States)
James R. Carr, Univ. of Nevada/Reno (United States)


Published in SPIE Proceedings Vol. 1301:
Digital Image Processing and Visual Communications Technologies in the Earth and Atmospheric Sciences
Paul Janota, Editor(s)

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