Komputerowa analiza obrazu - nowe narzedzie badawcze w naukach rolniczych

• Autorzy: Wiwart M
• Języki publikacji: PL

Abstrakty

EN

Paper presented the current literature review on application of computer image analysis in the field of agricultural research activities. The first part discussed some general topics connected to image analysis, the second showed obtained results to the date. Image analysis creating quite new perspectives of plant material evalulation may accelerate cultivar identification process on the basis of shape, brightness and colour of plant organs (seeds, grain or leaves). It is a very precise investigation tool which also helps in early diagnostics of damages caused by abiotic factors and pathogens. Many of described techniques may be considered as non-invasive and suitable for use in vivo experiment as well as in field and pot trials.

Słowa kluczowe

PL

analiza obrazu; badania naukowe; nauki rolnicze; komputerowa analiza obrazu

• Wydawca: -
• Czasopismo: Postępy Nauk Rolniczych
• Rocznik: 1999
• Tom: 46
• Numer: 5
• Opis fizyczny: s.3-15,rys.,bibliogr.

Twórcy

autor

Wiwart M

• Akademia Rolniczo-Techniczna, Olsztyn

Bibliografia

• [1] Arendonk v. J.J.C.M., Nieman G.J., Boon J.J., Lambers H. 1997. Effects of nitrogen supply on the anatomy and chemical composition of leaves of four grass species belonging to the genus Poa, as determined by image-processing analysis and pyrolysis-mass spectrometry. Plant, Cell and Environment 20: 881-897.
• [2] Autrey L.J.C, Moutia Y., Saumtally S. 1996. Screening of seedlings against rust, inoculation treatment and assessment by video image analysis. Sugar Cane 1: 4-10.
• [3] Baker B., Olszyk D. V., Tingey D. 1996. Digital image analysis to estimate leaf area. J. Plant. Physiol. 148: 530-535.
• [4] Berman M., Bason L., Ellison F., Peden G., Wrigley C. 1996. Image analysis of whole grains to screen for flour-milling yield in wheat breeding. Cereal Chem. 73(3): 323-327.
• [5] Büerman M., Schmidt R., Reitz P. 1995. Bruchkornbestimmung. Automatiesiertes Verfahren mit digitaler Bildanalyse. Landtechnik 50(4): 200-291.
• [6] Coles G. 1997. An objective dry pea 'colour' scoring system for commercial and plant breeding applications. J. Sci. Food Agric. 74: 435-440.
• [7] Foley J. D., van Damm A., Feiner S.K., Huges J.E. 1997. Wprowadzenie do grafiki komputerowej. WNT, Warszawa.
• [8] Fornter B., Meyer T.E. 1997. Number by Colors. Springer Telos ed.
• [9] Glasbey C.A., Horgan G.W. 1995. Image analysis for the biological sciences. John Willey & Sons Ltd. ed.
• [10] Han Y.J., Feng Y., Weler C.I. 1996. Frequency domain image analysis for detecting stress cracks in com kernels. Appl. Eng. Agric. 12(4): 487-492.
• [11] Kubiak A., Fornal Ł. 1994. Interaction between geometrical features and technological quality of polish wheat grains. Pol. J. Food Nutr. Sci. 3(44) 4: 75-85.
• [12] Kubiak A., Usajewicz I. 1993. Computer image analysis for the estimation of kernel quality in faba bean (Vicia faba L. minor). Pol. J. Food Nutr. Sci. 2 (43) 2: 51-57.
• [13] Latham R. 1997. Leksykon grafiki komputerowej j rzeczywistości wirtualnej. WNT, Warszawa.
• [14] Martin N.J., Fallowfield H.J. 1989. Computer modelling of algal waste treatment systems. Water Science and Technology 21: 277-287.
• [15] MultiScan v. 6.08. System pomiarowy pracujący w środowisku Windows. Spis funkcji i opis programów. 1997. Computer Scanning Systems Ltd., Warszawa.
• [16] Oh Ki-Bong, Chen Y., Matsuoka H., Yamamoto A., Kurata H. 1996. Morphological recognition of fungal spare germination by a computer-aided image analysis and its application to antifungal activity evaluation. J. Biotechn. 45: 71-79.
• [17] Parker S. R., Whelan M.J., Royle J. 1995. Reliable measurement of disease severity. Aspects of Applied Biology 43: 205-214.
• [18] RÉGENT Instruments Inc. 1997. Plant Science Image Analysis Suite. Régent Instruments Inc. 165 Fatima Ave, Québec, Canada.
• [19] Ruan R., Jones R., Wilcke W., Morey V., Ning S., Ning A., Xu J. 1996. Rapid evaluation of scabby wheat using machine vision and neural networks. Annual Report. http://www.bae.edu/annrpt/1996/research/crop4.html.
• [20] Schunk C., Obe G. 1997. Computerized image analysis of sister chromatid exchanges in Chinese hamster ovary cells. Mutation Research 379: 233-239.
• [21] Wiśniewska H., Chełkowski J. 1996. Evaluation of susceptibility to Fusarium seedling blight in winter wheat cultivars, using digital image analysis. Plant Breeding and Seed Science 40: 1-2, 159-162.
• [22] Wiwart M., Krauze-Baranowska M., Cisowski W. 1998. Ocena aktywności przeciwgrzybiczej dimerów flawonoidowych. Materiały XVII Naukowego Zjazdu Polskiego Towarzystwa Farmaceutycznego ,,Farmacja w perspektywie XXI w", Kraków, s. 278.
• [23] Wiwart M. 1998. Możliwości zastosowania komputerowej analizy obrazu do oceny stopnia porażenia ziarna zbóż przez patogeny z rodzaju Fusarium sp. VII Krajowa Konferencja ,,Grzyby Mikroskopowe - Patogeny roślin i ich toksyczne metabolity" Poznań: 17-20.
• [24] Wojnar L., Majorek M. 1994. Komputerowa analiza obrazu. Computer Scanning Systems Ltd. Warszawa.