Research on the adaptive probabilistic approach of texture analysis and its application in texture classification
Cai, D.; Hong, W.; Wu, Y.
Proc. Spie Int. Soc. Opt. Eng: 662312.1-662312.9
2008
ISSN/ISBN: 0277-786X
Accession: 077605796
PDF emailed within 1 workday: $29.90
Related References
Seifi Majdar, R; Ghassemian, H 2017: A probabilistic SVM approach for hyperspectral image classification using spectral and texture features International Journal of Remote Sensing 38(15): 4265-4284Chen, L.; Man, H. 2005: Hybrid IMM/SVM approach for wavelet-domain probabilistic model based texture classification Iee Proceedings. Vision, Image and Signal Processing 152(6): 724-730
Tidu, A.; Vadon, A.; Heizmann, J.J. 1989: Taking into account the texture effect in the measurement of residual stresses by using the vector method of texture analysis - Prise en compte de l'influence de la texture dans la mesure des contraintes résiduelles par l'utilisation de la méthode vectorielle d'analyse de texture Annual Conference on Applications of X-Ray Analysis 37 (Steamboat Springs 1988) 32: 423-428
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Basset, O.; Buquet, B.; Abouelkaram, S.; Delachartre, P.; Culioli, J. 2000: Application of texture image analysis for the classification of bovine meat Food Chemistry 69(4): 437-445
Zapotoczny, P. 2012: Application of image texture analysis for varietal classification of barley International Agrophysics 26(1): 81-90
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