Proceedings Paper
Comparison Between Cooccurrence Matrices, Local Histograms And Curvilinear Integration For Texture Characterization| Format | Member Price | Non-Member Price |
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Paper Abstract
We present an algorithm for texture characterization based upon curvilinear integration of grey tone signal along some predefined directions.In the context of image segmentation, we compare the performances of this very simple technique with two other ones : texture features by second-order cooccurrence probabilities, and texture features by local one dimensional histograms. Good classification performances are obtained on quite different pictures.
Paper Details
Date Published: 21 April 1986
PDF: 7 pages
Proc. SPIE 0596, Architectures and Algorithms for Digital Image Processing III, (21 April 1986); doi: 10.1117/12.952294
Published in SPIE Proceedings Vol. 0596:
Architectures and Algorithms for Digital Image Processing III
Francis J. Corbett; Howard Jay Siegel; Michael J. Duff, Editor(s)
PDF: 7 pages
Proc. SPIE 0596, Architectures and Algorithms for Digital Image Processing III, (21 April 1986); doi: 10.1117/12.952294
Show Author Affiliations
J. Ronsin, Laboratoire d'Automatique I.N.S.A. (France)
D. Barba, C.C.E.T.T. (France)
D. Barba, C.C.E.T.T. (France)
S. Raboisson, THOMSON L.E.R. (France)
Published in SPIE Proceedings Vol. 0596:
Architectures and Algorithms for Digital Image Processing III
Francis J. Corbett; Howard Jay Siegel; Michael J. Duff, Editor(s)
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