Author : MartÃn-gómez, j.j.; rewicz, a.; goriewa-duba, k.; wiwart, m.; tocino, Ã. & cervantes, e
Keyword : Geometric curves; j index; kernel; image analysis; morphology; seed; shape; wheat
Subject : Agriculture
Article Type : Original article (research)
DOI : https://doi.org/10.3390/agronomy9070399.
Article File : Full Text PDF
Abstract : Modern automated and semi-automated methods of shape analysis depart from the coordinates of the points in the outline of a figure and obtain, based on artificial vision algorithms, descriptive parameters (i.e., the length, width, area, and circularity index). These methods omit an important factor: the resemblance of the examined images to a geometric figure
Article by : Emilio Cervantes
Article add date : 2020-09-04
How to cite : MartÃn-gómez, j.j., rewicz, a., goriewa-duba, k., wiwart, m., tocino, Ã. & cervantes, e. (2020-September-04). Morphological description and classification of wheat kernels based on geometric models.. retrieved from https://openacessjournal.com/abstract/118