Grapevine leaf geometry description by fractal analysis – Case study in Muscat Hamburg
Abstract
The aim of the study was to analyze vine leaf geometry based on fractal geometry parameters. The biological material was represented by Muscat Hamburg grapevine cultivar. For the study 20 vine leaves were randomly sampled. From the set of sampled leaves, 15 leaves were scanned in a 1:1 ratio. The digital images, in binarized format, were analyzed by the box-counting method. The Anova test confirmed the reliability of the data and the presence of variance in the series of experimental data. The data series of the fractal parameters (D1, D2) presented a normal distribution. The regression analysis led to obtaining equations that described the variation of fractal dimensions D1 (0.5) and D2 (0.2) in relation to FP and the TP:FP ratio (TP – total pixels; FP – foreground pixels). The variation of D1 and D2 in relation to FP was described by linear equations (p<0.001; R2 = 0.978 in the case of D1; R2 = 0.942 in the case of D2). The variation of D1 and D2 in relation to TP:FP was described by polynomial equations (p<0.001; R2 = 0.984 in the case of D1; R2 = 0.953 in the case of D2). Fractal dimensions D1 and D2 showed close interdependence (p<0.001, R2 = 0.976). The fractal dimension D1 (0.5) presented higher values of the regression coefficient in the analysis with FP and TP:FP parameters.
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