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Contour recognition of complex leaf shapes
The leaf shape is an important taxonomic character. Compared to the classic morphological leaf features such as veins, margin indentations, sinuses, etc., the shape is simpler to obtain by using the 'magic wand' or other contouring tools that are available in most of imaging applications....
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2017
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722382/ https://www.ncbi.nlm.nih.gov/pubmed/29220401 http://dx.doi.org/10.1371/journal.pone.0189427 |
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author | Diaz, Giacomo |
author_facet | Diaz, Giacomo |
author_sort | Diaz, Giacomo |
collection | PubMed |
description | The leaf shape is an important taxonomic character. Compared to the classic morphological leaf features such as veins, margin indentations, sinuses, etc., the shape is simpler to obtain by using the 'magic wand' or other contouring tools that are available in most of imaging applications. The only exception is when leaves develop large lobes that get in touch or overlap each other, as the presence of hidden or closed portions of the leaf border precludes the application of automatic methods and forces the leaf contour to be traced manually. This is a time consuming and relatively accurate operation that, nevertheless, can not be avoided, as overlapping lobes are characteristic features of the leaves of several plant species and varieties. The method described in the paper overcomes this problem as it allows the leaf contour to be achieved even in the presence of touching or overlapping lobes. The method involves three steps: (1) the acquisition of leaf images using a transilluminator, (2) a two-level image segmentation that allows all leaf components (blade, overlapping lobes and closed sinuses) to be represented in a single binary image, and (3) the contouring and concatenation of all binary outlines in a single, self-intersecting closed contour that reproduces accurately the leaf shape. The method can be extended to acquire the shape of leaves of herbarium specimens, that are often overlapped but can not be easily handled and repositioned because of their extreme fragility and relevant taxonomic value. |
format | Online Article Text |
id | pubmed-5722382 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-57223822017-12-15 Contour recognition of complex leaf shapes Diaz, Giacomo PLoS One Research Article The leaf shape is an important taxonomic character. Compared to the classic morphological leaf features such as veins, margin indentations, sinuses, etc., the shape is simpler to obtain by using the 'magic wand' or other contouring tools that are available in most of imaging applications. The only exception is when leaves develop large lobes that get in touch or overlap each other, as the presence of hidden or closed portions of the leaf border precludes the application of automatic methods and forces the leaf contour to be traced manually. This is a time consuming and relatively accurate operation that, nevertheless, can not be avoided, as overlapping lobes are characteristic features of the leaves of several plant species and varieties. The method described in the paper overcomes this problem as it allows the leaf contour to be achieved even in the presence of touching or overlapping lobes. The method involves three steps: (1) the acquisition of leaf images using a transilluminator, (2) a two-level image segmentation that allows all leaf components (blade, overlapping lobes and closed sinuses) to be represented in a single binary image, and (3) the contouring and concatenation of all binary outlines in a single, self-intersecting closed contour that reproduces accurately the leaf shape. The method can be extended to acquire the shape of leaves of herbarium specimens, that are often overlapped but can not be easily handled and repositioned because of their extreme fragility and relevant taxonomic value. Public Library of Science 2017-12-08 /pmc/articles/PMC5722382/ /pubmed/29220401 http://dx.doi.org/10.1371/journal.pone.0189427 Text en © 2017 Giacomo Diaz http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Diaz, Giacomo Contour recognition of complex leaf shapes |
title | Contour recognition of complex leaf shapes |
title_full | Contour recognition of complex leaf shapes |
title_fullStr | Contour recognition of complex leaf shapes |
title_full_unstemmed | Contour recognition of complex leaf shapes |
title_short | Contour recognition of complex leaf shapes |
title_sort | contour recognition of complex leaf shapes |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5722382/ https://www.ncbi.nlm.nih.gov/pubmed/29220401 http://dx.doi.org/10.1371/journal.pone.0189427 |
work_keys_str_mv | AT diazgiacomo contourrecognitionofcomplexleafshapes |