Towards automation of palynology 1: analysis of pollen shape and ornamentation using simple geometric measures, derived from scanning electron microscope images
Abstract This is the first of a series of papers on the theme of automated pollen analysis. The automation of pollen analysis could result in numerous advantages for the reconstruction of past environments, with larger data sets made practical, objectivity and fine resolution sampling. There are als...
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crwiley:10.1002/jqs.871 2024-06-09T07:46:34+00:00 Towards automation of palynology 1: analysis of pollen shape and ornamentation using simple geometric measures, derived from scanning electron microscope images Treloar, W. J. Taylor, G. E. Flenley, J. R. 2004 http://dx.doi.org/10.1002/jqs.871 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjqs.871 https://onlinelibrary.wiley.com/doi/pdf/10.1002/jqs.871 en eng Wiley http://onlinelibrary.wiley.com/termsAndConditions#vor Journal of Quaternary Science volume 19, issue 8, page 745-754 ISSN 0267-8179 1099-1417 journal-article 2004 crwiley https://doi.org/10.1002/jqs.871 2024-05-16T14:28:52Z Abstract This is the first of a series of papers on the theme of automated pollen analysis. The automation of pollen analysis could result in numerous advantages for the reconstruction of past environments, with larger data sets made practical, objectivity and fine resolution sampling. There are also applications in apiculture and medicine. Previous work on the classification of pollen using texture measures has been successful with small numbers of pollen taxa. However, as the number of pollen taxa to be identified increases, more features may be required to achieve a successful classification. This paper describes the use of simple geometric measures to augment the texture measures. The feasibility of this new approach is tested using scanning electron microscope (SEM) images of 12 taxa of fresh pollen taken from reference material collected on Henderson Island, Polynesia. Pollen images were captured directly from a SEM connected to a PC. A threshold grey‐level was set and binary images were then generated. Pollen edges were then located and the boundaries were traced using a chain coding system. A number of simple geometric variables were calculated directly from the chain code of the pollen and a variable selection procedure was used to choose the optimal subset to be used for classification. The efficiency of these variables was tested using a leave‐one‐out classification procedure. The system successfully split the original 12 taxa sample into five sub‐samples containing no more than six pollen taxa each. The further subdivision of echinate pollen types was then attempted with a subset of four pollen taxa. A set of difference codes was constructed for a range of displacements along the chain code. From these difference codes probability variables were calculated. A variable selection procedure was again used to choose the optimal subset of probabilities that may be used for classification. The efficiency of these variables was again tested using a leave‐one‐out classification procedure. The proportion of ... Article in Journal/Newspaper Henderson Island Wiley Online Library Henderson Island ENVELOPE(97.200,97.200,-66.367,-66.367) Journal of Quaternary Science 19 8 745 754 |
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Wiley Online Library |
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crwiley |
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English |
description |
Abstract This is the first of a series of papers on the theme of automated pollen analysis. The automation of pollen analysis could result in numerous advantages for the reconstruction of past environments, with larger data sets made practical, objectivity and fine resolution sampling. There are also applications in apiculture and medicine. Previous work on the classification of pollen using texture measures has been successful with small numbers of pollen taxa. However, as the number of pollen taxa to be identified increases, more features may be required to achieve a successful classification. This paper describes the use of simple geometric measures to augment the texture measures. The feasibility of this new approach is tested using scanning electron microscope (SEM) images of 12 taxa of fresh pollen taken from reference material collected on Henderson Island, Polynesia. Pollen images were captured directly from a SEM connected to a PC. A threshold grey‐level was set and binary images were then generated. Pollen edges were then located and the boundaries were traced using a chain coding system. A number of simple geometric variables were calculated directly from the chain code of the pollen and a variable selection procedure was used to choose the optimal subset to be used for classification. The efficiency of these variables was tested using a leave‐one‐out classification procedure. The system successfully split the original 12 taxa sample into five sub‐samples containing no more than six pollen taxa each. The further subdivision of echinate pollen types was then attempted with a subset of four pollen taxa. A set of difference codes was constructed for a range of displacements along the chain code. From these difference codes probability variables were calculated. A variable selection procedure was again used to choose the optimal subset of probabilities that may be used for classification. The efficiency of these variables was again tested using a leave‐one‐out classification procedure. The proportion of ... |
format |
Article in Journal/Newspaper |
author |
Treloar, W. J. Taylor, G. E. Flenley, J. R. |
spellingShingle |
Treloar, W. J. Taylor, G. E. Flenley, J. R. Towards automation of palynology 1: analysis of pollen shape and ornamentation using simple geometric measures, derived from scanning electron microscope images |
author_facet |
Treloar, W. J. Taylor, G. E. Flenley, J. R. |
author_sort |
Treloar, W. J. |
title |
Towards automation of palynology 1: analysis of pollen shape and ornamentation using simple geometric measures, derived from scanning electron microscope images |
title_short |
Towards automation of palynology 1: analysis of pollen shape and ornamentation using simple geometric measures, derived from scanning electron microscope images |
title_full |
Towards automation of palynology 1: analysis of pollen shape and ornamentation using simple geometric measures, derived from scanning electron microscope images |
title_fullStr |
Towards automation of palynology 1: analysis of pollen shape and ornamentation using simple geometric measures, derived from scanning electron microscope images |
title_full_unstemmed |
Towards automation of palynology 1: analysis of pollen shape and ornamentation using simple geometric measures, derived from scanning electron microscope images |
title_sort |
towards automation of palynology 1: analysis of pollen shape and ornamentation using simple geometric measures, derived from scanning electron microscope images |
publisher |
Wiley |
publishDate |
2004 |
url |
http://dx.doi.org/10.1002/jqs.871 https://api.wiley.com/onlinelibrary/tdm/v1/articles/10.1002%2Fjqs.871 https://onlinelibrary.wiley.com/doi/pdf/10.1002/jqs.871 |
long_lat |
ENVELOPE(97.200,97.200,-66.367,-66.367) |
geographic |
Henderson Island |
geographic_facet |
Henderson Island |
genre |
Henderson Island |
genre_facet |
Henderson Island |
op_source |
Journal of Quaternary Science volume 19, issue 8, page 745-754 ISSN 0267-8179 1099-1417 |
op_rights |
http://onlinelibrary.wiley.com/termsAndConditions#vor |
op_doi |
https://doi.org/10.1002/jqs.871 |
container_title |
Journal of Quaternary Science |
container_volume |
19 |
container_issue |
8 |
container_start_page |
745 |
op_container_end_page |
754 |
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1801376508037562368 |