Effect of different combinations of size and shape parameters in the percentage error of classification of structural elements in vegetal tissue of the pumpkin Cucurbita pepo L. using probabilistic neural networks
The optimal combination of size and shape parameters for classifying structural elements with the lowest percentage error is determined.For this purpose, logical sequences and a series of micrographs of tissues of the pumpkin Cucurbita pepo L.were used to identify and manually classify structural elements into three different classes: cells, interc