Literatura koja se odnosi na različite morfometrijske i statističke metode korištene tijekom rada na projektu

Adams, D .C., F. J. Rohlf, D. E. Slice 2004: Geometric Morphometrics: Ten Years of Progress Following the ‘Revolution’. Italian Journal of Zoology 71 (u tisku).
Bookstein, F. L. 1982: Foundation of Morphometrics. Ann. Rev. Ecol.Syst. 13: 451-470.
Bookstein, F. L. 1989: Size and Shape: A Comment on Semantics. Syst. Zool. 38: 173-180.
Bookstein, F. L. 1997: Landmark methods for forms without landmarks: Localizing group differences in outline shape. Medical Image Analysis 1: 225-243.
Bookstein, F. L. 1998: Morphometric tools for landmark data: geometry and biology. 2nd ed. Cambridge University Press, Cambridge.
Diaz, G., D. Quacci, C. Dell'Orbo 1990: Recognition of cell surface modulation by elliptic Fourier analysis. Computer Methods and Programs in Biomedicine 31: 57-62.
Hammer, O. 2002: Morphometrics – brief notes. http://folk.uio.no/ohammer/past/morphometry.pdf
Kincaid, D. T., R. B. Schneider 1983: Quantification of leaf shape with a microcomputer and Fourier transform. Can. J. Bot. 61: 2333-2342.
Kuhl, F.P. & Giardina, C.R. 1982: Elliptic Fourier features of a closed contour. Comp. Graph Imag. Proc. 18, 236-258.
Lestrel, P. E. 1997: Fourier descriptors and their applications in biology. Cambridge University Press, Cambridge.
Lestrel, P. E. 2000: Morphometrics for the Life Sciences. World Scientific Publishing, Singapore.
McGarigal K., S. Cushman, S. Stafford 2000: Multivariate Statistics for Wildlife and Ecology Research. Springer-Verlag, New York.
McLellan, T., J. A. Endler 1998: The relative success of some methods for measuring and describing the shape of complex objects. Sys. Biol. 47: 264-281
Reyment, R. A. 1985: Multivariate Morphometrics and Analysis of Shape. Mathematical Geology 17: 591-609.
Rohlf, F. J., L. F. Marcus 1993: A revolution in morphometrics. Trends in Ecology and Evolution. 8: 129-132.
Sneath, P. H. A., R. R. Sokal 1973: Numerical taxonomy. W. H. Freeman and Co., San Francisco.

 

Literatura koja se odnosi na primjenu modernih morfometrijskih metoda u taksonomiji i genetici biljaka, agronomiji i šumarstvu

Chtioui, Y., D. Bertrand, D. Barba 1996: Reduction of the Size of the Learning Data in a Probabilistic Neural Network by Hierarchical Clustering - Application to the Discrimination of Seeds by Artificial Vision. Chemometrics & Intelligent Laboratory Systems. 35: 175-186.
Chtioui, Y., D. Bertrand, Y. Dattee, M. F. Devaux 1996: Identification of Seeds by Colour Imaging - Comparison of Discriminant Analysis and Artificial Neural Network. Journal of the Science of Food & Agriculture 71: 433-441.
Chtioui, Y., D. Bertrand, D. Barba, Y. Dattee 1997: Application of Fuzzy C-Means Clustering for Seed Discrimination by Artificial Vision. Chemometrics & Intelligent Laboratory Systems 38: 75-87.
Chtioui, Y., D. Bertrand, D. Barba 1998: Feature Selection by a Genetic Algorithm - Application to Seed Discrimination by Artificial Vision. Journal of the Science of Food & Agriculture 76: 77-86.
Diaz, G., M. Setzu, A. Diana, C. Loi, B. De Martis, M. Pala, M. Boselli 1991: Analyse de Fourier de la forme de la feuille de vigne. Premiere application ampelométrique sur un echantillon de 34 cépages implantés en Sardaigne. Journal International des Sciences de la Vigne et du Vin 25: 37-49.
Heijden, G. W. A. M. van der 1995: Applications of image analysis in plant variety testing. Thesis Delft University of Technology. Delft University Press.
Hemming J., T. Rath 2001: Computer Vision-based Weed Identification under Field Conditions using Controlled Lighting. J. Agric. Engin. Res. 78: 233-243.
Horgan, G. W., M. Talbot, J. C. Davey 2001: Use of statistical image analysis to discriminate carrot cultivars. Computers and Electronics in Agriculture. 31: 191-199.
Iwata, H., H. Nesumi, S. Ninomiya, Y. Takano, Y. Ukai 2002: The evaluation of genotype x environment interactions of citrus leaf morphology using image analysis and elliptic Fourier descriptors. Breeding Science 52: 243-251.
Iwata, H., H. Nesumi, S. Ninomiya, Y. Takano, Y. Ukai 2002: Diallel analysis of leaf shape variations of citrus varieties based on elliptic Fourier descriptors. Breeding Science 52: 89-94
Iwata, H., S. Niikura, S. Matsuura, Y. Takano, Y. Ukai 2000: Diallel analysis of root shape of Japanese radish (Raphanus sativus L.) based on elliptic Fourier descriptors. Breeding Science 50: 73-80
Mancuso, S. 1999: Elliptic Fourier Analysis (EFA) and Artificial Neural Networks (ANNs) for the indentification of grapevine (Vitis vinifera L.) genotypes. Vitis 38: 73-77.
Mancuso, S. 1999: Fractal geometry-based image analysis of grapevine leaves using the box counting algorithm. Vitis 38: 97-100.
Mancuso, S. 2001: Clustering of grapevine (Vitis vinifera L.) genotypes with Kohonen neural networks. Vitis 40: 59-63.
Mancuso, S., P. L. Pisani, R. Bandinelli, E. Rinaldelli 1998: Application of an Artificial Neural Network (ANN) for the indentification of Vitis vinifera L. genotypes. Vitis 37: 27-32.
Mancuso, S., F. P. Nicese 1999: Identifying olive (Olea europaea) cultivars using artificial neural networks. Journal of the American Society for Horticultural Science. 124: 527-531.
Mancuso, S., F. Ferrini, F. P. Nicese 1999: Chestnut (Castanea sativa Mill.) genotype identification: An artificial neural network approach. The Journal of Horticultural Science & Biotechnology 74: 777-784
Oide, M., S. Ninomiya 1998: Application of neural network to identification of soybean varieties using leaflet shape images. 3rd IFAC/CIGR Workshop on Artificial Intelligence in Agriculture, Makuhari, Japan. p. 84-87.
Oide, M., S. Ninomiya 2000: Discrimination of soybean leaflet shape by neural networks with image input. Computers and Electronics in Agriculture. 29: 59-72.
Oide, M., S. Ninomiya 2000: Plant shape discrimination of several taxa without shape feature extraction using neural networks with image input. Breeding Science 50: 189-196.
Olsson, A., H. Nybom, H. C. Prentice 2000: Relationships between Nordic Dogroses (Rosa L. sect. Caninae, Rosaceae) Assessed by RAPDs and Elliptic Fourier Analysis of Leaflet Shape. Syst. Bot. 25: 511-521.
Persson, H.A., B.A. Gustavsson, 2001: The extent of clonality and genetic diversity in lingonberry (Vaccinium vitis-idaea L.) revealed by RAPDs and leaf-shape analysis. Molecular Ecology 10: 1385-1397.
Premoli, A. C. 1996: Leaf architecture of South American Nothofagus (Nothofagaceae) using traditional and new methods in morphometrics. Bot. J. Linn. Soc. 121: 25-40.
Rumpunen, K., I. V. Bartish 2002: Comparasion of differentiation estimates based on morphometric and molecular data, exemplified by various leaf shape descriptors and RAPDs in the genus Chaenomeles (Rosaceae). Taxon 51: 69-82.
Thomas, M.A., J.C. Schultz, B.A. McPheron 1997: Using elliptic Fourier analysis and Random Amplified Polymorphic DNA to investigate a genetically complex syngameon of north american oaks. U: Steiner, K.C. (ur.): Diversity and adaptation in oak species. Proceedings of the second meeting of IUFRO working party 2.08.05, Genetics of Quercus, October 12-17, 1997, University park, Pennsylvania USA. str. 165.