Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
Handbook of pattern recognition & computer vision
Image analysis for the biological sciences
Image analysis for the biological sciences
Image Processing, Analysis, and Machine Vision
Image Processing, Analysis, and Machine Vision
Early detection of Fusarium infection in wheat using hyper-spectral imaging
Computers and Electronics in Agriculture
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The response of spring triticale to the infection of heads with mixture of Fusarium culmorum and F. avenaceum isolates was investigated with the application of colour image analysis of grains. The results seem to suggest that there is a strong relationship between declining values of the two yield components: kernels weight per spike and one thousand kernels weight (TKW), and the values of colour components H S and I (hue, saturation, intensity); the presence of the relationship is confirmed by high values of simple correlation coefficients. The technique applied in the experiment makes it possible to diagnose a case of Fusarium infestation at a nearly 90% probability, the result that creates the basis for further research towards the elaboration of a completely automatic system of colour image analysis of grain.