2019
DOI: 10.3390/horticulturae5030060
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Seed Shape Description and Quantification by Comparison with Geometric Models

Abstract: Modern methods of image analysis are based on the coordinates of the points making the silhouette of an image and allow the comparison between seed shape in different species and varieties. Nevertheless, these methods miss an important reference point because they do not take into consideration the similarity of seeds with geometrical figures. We propose a method based on the comparison of the bi-dimensional images of seeds with geometric figures. First, we describe six geometric figures that may be used as mo… Show more

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Cited by 28 publications
(36 citation statements)
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“…These are useful for the identification of some species and may be associated with more general morphological patterns. Our main objective was to describe the shape of seeds based on the comparison of seed images with geometric figures as it was done in other species [ 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 ].…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…These are useful for the identification of some species and may be associated with more general morphological patterns. Our main objective was to describe the shape of seeds based on the comparison of seed images with geometric figures as it was done in other species [ 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 ].…”
Section: Discussionmentioning
confidence: 99%
“…In the first case, it is not possible to have quantitative data because the kidney is not a geometrically defined figure, and in both cases, there are no described means to determine the degree of similarity to a kidney or to quantify sphericity of the seeds. To address this situation, we present a method based on the comparison of the seed images with bi-dimensional geometric figures described mathematically [ 32 , 33 ]. This allows the quantification of the two-dimensional shape of the seeds by the percentage of similarity between the seed image and a given geometric figure.…”
Section: Introductionmentioning
confidence: 99%
“…The two images (seed and model) can be superimposed searching for a maximum similarity and the ratio between shared and total surface areas, that we have termed J index, is calculated with the data obtained in ImageJ [ 15 ]. J index measures the percent of similarity between two images (the seed and the model) and provides information on overall seed shape [ 16 , 17 ]. Bidimensional seed images of many plant species adjust well to one of three morphological types: the ellipse, the oval and the cardioid [ 18 ].…”
Section: Seed Morphology In the Vitaceaementioning
confidence: 99%
“…Comparing the shape of seeds (outline of seed images) to geometric figures permits a precise quantification of seed shape, and in this condition, shape description is independent of size. We have established a method based on the comparison of the bi-dimensional images of seeds with geometric figures by the calculation of J index [19,20]. J index is the percent of similarity between two plane figures: the seed image and the geometric model [19][20][21][22][23][24][25][26][27].…”
Section: J Index a Magnitude In Seed Morphologymentioning
confidence: 99%