Automated efficient computation of crown transparency from tree silhouette images
The transparency of trees is the most important indicator for a forest health assessment. This paper presents an efficient method for calculating the crown transparency coefficient from tree binary images. This coefficient is based on the automated quantification of the deep indentation, macro-hole and micro-hole densities. Circular structuring elements are introduced, among other things, to automatically find the significant biological size. The symmetric tree convex hull and the tree smoothed contour are defined to delineate the reference areas necessary to evaluate the above-mentioned densities. Statistical thresholds are proposed to eliminate human operator subjectivity, especially in the automated identification of anatomical elements such as soft and deep crown-indentations or macro and micro crown-holes. A point-wise transparency map is produced to better appreciate the origin of the visible skylight areas in the crown. The crown micro-hole density is calculated from the 0.1-to-0.5 transparency points, the crown macro-hole density from the 0.5-to-1 transparency points. We finally opt for weighting of the above three densities with regard to the importance of the symptoms they describe for a more relevant crown transparency coefficient. A comparative study on several trees from full-size and half-size binary images showed that our method is similar overall to the DSO and less sensitive to scale reduction.
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dig-cirad-fr-5835132024-01-29T00:03:01Z http://agritrop.cirad.fr/583513/ http://agritrop.cirad.fr/583513/ Automated efficient computation of crown transparency from tree silhouette images. Borianne Philippe, Subsol Gérard, Caraglio Yves. 2017. Computers and Electronics in Agriculture, 133 : 108-118.https://doi.org/10.1016/j.compag.2016.12.011 <https://doi.org/10.1016/j.compag.2016.12.011> Automated efficient computation of crown transparency from tree silhouette images Borianne, Philippe Subsol, Gérard Caraglio, Yves eng 2017 Computers and Electronics in Agriculture F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement K01 - Foresterie - Considérations générales U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche forêt forêt tropicale Houppier morphologie végétale lumière densité du peuplement feuillage densité santé des plantes mesure (activité) méthode statistique imagerie arbre forestier http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_16172 http://aims.fao.org/aos/agrovoc/c_13434 http://aims.fao.org/aos/agrovoc/c_4322 http://aims.fao.org/aos/agrovoc/c_35781 http://aims.fao.org/aos/agrovoc/c_36752 http://aims.fao.org/aos/agrovoc/c_2186 http://aims.fao.org/aos/agrovoc/c_25398 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_3052 The transparency of trees is the most important indicator for a forest health assessment. This paper presents an efficient method for calculating the crown transparency coefficient from tree binary images. This coefficient is based on the automated quantification of the deep indentation, macro-hole and micro-hole densities. Circular structuring elements are introduced, among other things, to automatically find the significant biological size. The symmetric tree convex hull and the tree smoothed contour are defined to delineate the reference areas necessary to evaluate the above-mentioned densities. Statistical thresholds are proposed to eliminate human operator subjectivity, especially in the automated identification of anatomical elements such as soft and deep crown-indentations or macro and micro crown-holes. A point-wise transparency map is produced to better appreciate the origin of the visible skylight areas in the crown. The crown micro-hole density is calculated from the 0.1-to-0.5 transparency points, the crown macro-hole density from the 0.5-to-1 transparency points. We finally opt for weighting of the above three densities with regard to the importance of the symptoms they describe for a more relevant crown transparency coefficient. A comparative study on several trees from full-size and half-size binary images showed that our method is similar overall to the DSO and less sensitive to scale reduction. article info:eu-repo/semantics/article Journal Article info:eu-repo/semantics/publishedVersion http://agritrop.cirad.fr/583513/1/1-s2.0-S0168169916306469-main.pdf text Cirad license info:eu-repo/semantics/restrictedAccess https://agritrop.cirad.fr/mention_legale.html https://doi.org/10.1016/j.compag.2016.12.011 10.1016/j.compag.2016.12.011 info:eu-repo/semantics/altIdentifier/doi/10.1016/j.compag.2016.12.011 info:eu-repo/semantics/altIdentifier/purl/https://doi.org/10.1016/j.compag.2016.12.011 |
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F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement K01 - Foresterie - Considérations générales U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche forêt forêt tropicale Houppier morphologie végétale lumière densité du peuplement feuillage densité santé des plantes mesure (activité) méthode statistique imagerie arbre forestier http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_16172 http://aims.fao.org/aos/agrovoc/c_13434 http://aims.fao.org/aos/agrovoc/c_4322 http://aims.fao.org/aos/agrovoc/c_35781 http://aims.fao.org/aos/agrovoc/c_36752 http://aims.fao.org/aos/agrovoc/c_2186 http://aims.fao.org/aos/agrovoc/c_25398 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_3052 F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement K01 - Foresterie - Considérations générales U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche forêt forêt tropicale Houppier morphologie végétale lumière densité du peuplement feuillage densité santé des plantes mesure (activité) méthode statistique imagerie arbre forestier http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_16172 http://aims.fao.org/aos/agrovoc/c_13434 http://aims.fao.org/aos/agrovoc/c_4322 http://aims.fao.org/aos/agrovoc/c_35781 http://aims.fao.org/aos/agrovoc/c_36752 http://aims.fao.org/aos/agrovoc/c_2186 http://aims.fao.org/aos/agrovoc/c_25398 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_3052 |
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F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement K01 - Foresterie - Considérations générales U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche forêt forêt tropicale Houppier morphologie végétale lumière densité du peuplement feuillage densité santé des plantes mesure (activité) méthode statistique imagerie arbre forestier http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_16172 http://aims.fao.org/aos/agrovoc/c_13434 http://aims.fao.org/aos/agrovoc/c_4322 http://aims.fao.org/aos/agrovoc/c_35781 http://aims.fao.org/aos/agrovoc/c_36752 http://aims.fao.org/aos/agrovoc/c_2186 http://aims.fao.org/aos/agrovoc/c_25398 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_3052 F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement K01 - Foresterie - Considérations générales U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche forêt forêt tropicale Houppier morphologie végétale lumière densité du peuplement feuillage densité santé des plantes mesure (activité) méthode statistique imagerie arbre forestier http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_16172 http://aims.fao.org/aos/agrovoc/c_13434 http://aims.fao.org/aos/agrovoc/c_4322 http://aims.fao.org/aos/agrovoc/c_35781 http://aims.fao.org/aos/agrovoc/c_36752 http://aims.fao.org/aos/agrovoc/c_2186 http://aims.fao.org/aos/agrovoc/c_25398 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_3052 Borianne, Philippe Subsol, Gérard Caraglio, Yves Automated efficient computation of crown transparency from tree silhouette images |
description |
The transparency of trees is the most important indicator for a forest health assessment. This paper presents an efficient method for calculating the crown transparency coefficient from tree binary images. This coefficient is based on the automated quantification of the deep indentation, macro-hole and micro-hole densities. Circular structuring elements are introduced, among other things, to automatically find the significant biological size. The symmetric tree convex hull and the tree smoothed contour are defined to delineate the reference areas necessary to evaluate the above-mentioned densities. Statistical thresholds are proposed to eliminate human operator subjectivity, especially in the automated identification of anatomical elements such as soft and deep crown-indentations or macro and micro crown-holes. A point-wise transparency map is produced to better appreciate the origin of the visible skylight areas in the crown. The crown micro-hole density is calculated from the 0.1-to-0.5 transparency points, the crown macro-hole density from the 0.5-to-1 transparency points. We finally opt for weighting of the above three densities with regard to the importance of the symptoms they describe for a more relevant crown transparency coefficient. A comparative study on several trees from full-size and half-size binary images showed that our method is similar overall to the DSO and less sensitive to scale reduction. |
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article |
topic_facet |
F50 - Anatomie et morphologie des plantes F62 - Physiologie végétale - Croissance et développement K01 - Foresterie - Considérations générales U10 - Informatique, mathématiques et statistiques U30 - Méthodes de recherche forêt forêt tropicale Houppier morphologie végétale lumière densité du peuplement feuillage densité santé des plantes mesure (activité) méthode statistique imagerie arbre forestier http://aims.fao.org/aos/agrovoc/c_3062 http://aims.fao.org/aos/agrovoc/c_24904 http://aims.fao.org/aos/agrovoc/c_16172 http://aims.fao.org/aos/agrovoc/c_13434 http://aims.fao.org/aos/agrovoc/c_4322 http://aims.fao.org/aos/agrovoc/c_35781 http://aims.fao.org/aos/agrovoc/c_36752 http://aims.fao.org/aos/agrovoc/c_2186 http://aims.fao.org/aos/agrovoc/c_25398 http://aims.fao.org/aos/agrovoc/c_4668 http://aims.fao.org/aos/agrovoc/c_7377 http://aims.fao.org/aos/agrovoc/c_36760 http://aims.fao.org/aos/agrovoc/c_3052 |
author |
Borianne, Philippe Subsol, Gérard Caraglio, Yves |
author_facet |
Borianne, Philippe Subsol, Gérard Caraglio, Yves |
author_sort |
Borianne, Philippe |
title |
Automated efficient computation of crown transparency from tree silhouette images |
title_short |
Automated efficient computation of crown transparency from tree silhouette images |
title_full |
Automated efficient computation of crown transparency from tree silhouette images |
title_fullStr |
Automated efficient computation of crown transparency from tree silhouette images |
title_full_unstemmed |
Automated efficient computation of crown transparency from tree silhouette images |
title_sort |
automated efficient computation of crown transparency from tree silhouette images |
url |
http://agritrop.cirad.fr/583513/ http://agritrop.cirad.fr/583513/1/1-s2.0-S0168169916306469-main.pdf |
work_keys_str_mv |
AT boriannephilippe automatedefficientcomputationofcrowntransparencyfromtreesilhouetteimages AT subsolgerard automatedefficientcomputationofcrowntransparencyfromtreesilhouetteimages AT caraglioyves automatedefficientcomputationofcrowntransparencyfromtreesilhouetteimages |
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1792499211388846080 |