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Irodalomjegyzék

Áttekintett irodalom

D.J. Barry and G. A. Williams: Microscopic characterisation of filamentous microbes: towards fully automated mophological quantification through image analysis. Journal of Microscopy, vol. 244, pp. 1-20, (2011).

D. J. Barry, S. R. McGee, R. Ryan, G. A. Williams, J. M. Blackledge: Relating fractal dimension to branching behaviour in filamentous microorganisms. ISAST Transactions on Electronics and Signal Processing, vol: 4, issue: 1, pages: 71 - 76, (2009)

D. J. Barry, C. Chan, G. A.  Williams . Morphological quantification of filamentous fungal development using membrane immobilization and automatic image analysis. J Ind Microbiol Biotechnol., 36(6):787-800, (2009) doi: 10.1007/s10295-009-0552-9.

T. Bernier and J.A. Landry: Algorithmic recognition of biological objects. Canadian Agricultural Engineering, vol 42, no 2, pp. 101-109, (2000).

T. Chen and C. Guestrin: XGBoost: A Scalable Tree Boosting System. Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 785-794, (2016)

D. Cross, C.M. Kenerley: Modelling the growth of Trichoderma virens with limited sampling of digital images. Journal of Applied Microbiology, 97: 486-494. (2004) https://doi.org/10.1111/j.1365-2672.2004.02310.x

N. Falco: Advanced Spectral and Spatial Techniques in Hyperspectral Image Analysis and Classification. PhD Thesis. Faculty of Electrical and Computer Engineering, University of Iceland, (2015).

E. Gaston: Visible and hyperspectral imaging systems for the detection and discrimination of mechanical and microbiological damage of mushrooms. PhD Thesis. Dublin Institute of Technology, (2010).

A. A. Gowen, C. P. O’Donnell, M. Taghizadeh, P. J. Cullen, J. M. Frias, and G. Downey: Hyperspectral imaging combined with principal component analysis for bruise damage detection on white mushrooms. Journal of Chemometrics, 22, pp. 259-267, (2008)

A. A. Gowen, M. Taghizadeh, C. P. O’Donnell: Identification of mushrooms subjected to freeze damage using hyperspectral imaging. Journal of Food Engineering, 93, pp. 7-12, (2009)

B. Kullman, W. Teterin: Estimation of fungal genome size: comparison of image cytometry and photometric cytometry. Folia Cryptogamica Estonica 42:43-56, (2006)

M. Papagianni: Characterization of Fungal Morphology using Digital Image Analysis Techniques. Journal of Microbial & Biochem Technology, 6:4, 189-194, (2014)

M. Papagianni, M. Mattey: Morphological development of Aspergillus niger in submerged citric acid fermentation as a function of the spore inoculum level. Application of neural network and cluster analysis for characterization of mycelial morphology. Microbial Cell Factories volume 5, (2006) 

V. Parrag, J. Felföldi, L. Baranyai, A. Geossel, F. Firtha: Early Detection Of Cobweb Disease Infection on Agaricus Bisporus Sporocarps Using Hyperspectral Imaging. Acta Alimentaria, Vol. 43, pp. 107-206 (2013)

M. Taghizadeh, A. A. Gowen, C. P. O’Donnell: Prediction of white button mushroom (Agaricus bisporus) moisture content using hyperspectral imaging. Sens. & Instrumen. Food Qual., 3:219–226, (2009)

M. Taghizadeh, A. A. Gowen, C. P. O’Donnell: The potential of visible-near infrared hyperspectral imaging to discriminate between casing soil, enzymatic browning and undamaged tissue on mushroom (Agaricus bisporus) surfaces. Computers and Electronics in Agriculture, 77, pp. 74-80, (2011)

Y. Tarabalka: Classification of Hyperspectral Data Using Spectral-spatial approaches. PhD thesis, University of Iceland, (2011).