Image analysis – Histogram processing – For setting a threshold
Patent
1992-11-25
1994-06-14
Mancuso, Joseph
Image analysis
Histogram processing
For setting a threshold
382 14, 382 15, 382 16, G06K 946
Patent
active
053217713
ABSTRACT:
A device for automatic image segmentation according to the invention comprises a data processor associated with a network of automata organized in three levels; the inputs of each of the automata are weighted by adjustable coefficients; the number of automata of the first level is equal to the number of characteristic values computed from observation windows taken firstly in a set of examples of image zones having different textures. Learning by the network permits adjustment of the weighting coefficients of the automata of the network until all the examples of the same texture lead to the same configuration.
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Dupaguntla et al., A Neural Network Architecture for Texture Segmentation and Labelling, International Joint Conference on Neural Networks, Jun. 18-22, 1989, pp. 127-133.
Pattern Recognition Letters, vol. 2, No. 3, Mar. 1984, Elsevier Science Publishers B.V., (Amsterdam, NL), M. Unser et al.: "Feature extraction and decision procedure for automated inspection of texture materials", pp. 185-191 voir p. 186, col. 1, lignes 24-30, 34-36; p. 186, col. 2, lignes 26-36; p. 189, col. 1, lignes 5-9; p. 189, col. 2, lignes 18-22.
IEEE Proceedings on Pattern Recognition and Image Processing, Jun. 14-17, 1982, Las Vegas, Nevada, IEEE, (New York, US), A. K. C. Wong et al.: "Search-effective multi-class texture classification", pp. 208-213 voir abrege; p. 210, col. 2, lignes 39-45; p. 212, col. 1, lignes 34-40.
Burel Gilles
Catros Jean-Yves
"Thomson-CSF"
Klocinski Steven P.
Mancuso Joseph
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