Neighboring gray level dependence matrix for texture classification

Neighboring gray level dependence matrix for texture classification

A new approach, neighboring gray level dependence matrix (NGLDM), for texture classification is presented. The major properties of this approach are as follows: (a) texture features can be easily computed; (b) they are essentially invariant under spatial rotation; (c) they are invariant under linear...

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Veröffentlicht in:Computer vision, graphics, and image processing graphics, and image processing, 1983-01, Vol.23 (3), p.341-352
Hauptverfasser: Sun, Chengjun, Wee, William G
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Sprache:eng
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Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Pattern recognition. Digital image processing. Computational geometry
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container_title Computer vision, graphics, and image processing
container_volume 23
creator Sun, Chengjun
Wee, William G
description A new approach, neighboring gray level dependence matrix (NGLDM), for texture classification is presented. The major properties of this approach are as follows: (a) texture features can be easily computed; (b) they are essentially invariant under spatial rotation; (c) they are invariant under linear gray level transformation and can be made insensitive to monotonic gray level transformation. These properties have enhanced the practical applications of the texture features. The accuracies of the classification are comparable with those found in the literature.
doi_str_mv 10.1016/0734-189X(83)90032-4
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subjects Applied sciences
Artificial intelligence
Computer science
control theory
systems
Exact sciences and technology
Pattern recognition. Digital image processing. Computational geometry
title Neighboring gray level dependence matrix for texture classification
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