Comparison Between Cooccurrence Matrices, Local Histograms And Curvilinear Integration For Texture Characterization

J. Ronsin; D. Barba; S. Raboisson

doi:10.1117/12.952294

21 April 1986 Comparison Between Cooccurrence Matrices, Local Histograms And Curvilinear Integration For Texture Characterization

J. Ronsin, D. Barba, S. Raboisson

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Proceedings Volume 0596, Architectures and Algorithms for Digital Image Processing III; (1986) https://doi.org/10.1117/12.952294
Event: 1985 International Technical Symposium/Europe, 1985, Cannes, France

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.

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J. Ronsin, D. Barba, and S. Raboisson "Comparison Between Cooccurrence Matrices, Local Histograms And Curvilinear Integration For Texture Characterization", Proc. SPIE 0596, Architectures and Algorithms for Digital Image Processing III, (21 April 1986); https://doi.org/10.1117/12.952294

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