Age-groups classification of Irrawaddy dolphins based on dorsal fin geometric morphological features

The Irrawaddy dolphin is a species at the top of the food chain, but its population is currently endangered. Hence, the critical need to take effective conservation measures for Irrawaddy dolphins, particularly in population reproduction. The age structure of Irrawaddy dolphins can be studied to und...

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Main Authors: Min Sheng, Qingxuan He, Daoping Yu, Benyue Su
Format: Article
Language:English
Published: Elsevier 2023-10-01
Series:Ecological Indicators
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S1470160X23006489
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author Min Sheng
Qingxuan He
Daoping Yu
Benyue Su
author_facet Min Sheng
Qingxuan He
Daoping Yu
Benyue Su
author_sort Min Sheng
collection DOAJ
description The Irrawaddy dolphin is a species at the top of the food chain, but its population is currently endangered. Hence, the critical need to take effective conservation measures for Irrawaddy dolphins, particularly in population reproduction. The age structure of Irrawaddy dolphins can be studied to understand the population reproduction status and provide reference for formulating scientific conservation measures. Unlike age estimation methods based on invasive biological tissue detection and individual biological target detection methods based on audio features or image pixel features, this paper proposes the method to extract the Irrawaddy dolphin's dorsal fin geometric morphological features for classifying age-groups by using non-uniform B-spline. Firstly, this method uses non-uniform B-spline method to fit the dorsal fin edge curve of Irrawaddy dolphins. Then the curve is resolved to extract its derivatives, curvature and other features that describe its geometry morphology. Finally, the random forest (RF) was supplemented to classify Irrawaddy dolphins into juvenile, middle-aged and older. Experiments show that the method proposed in this paper could effectively classify older dolphins to an accuracy of 87.36%. The method proposed in this paper is non-invasive not only can help analyze the Irrawaddy dolphin's development trajectory, understand the reproductive maturity, fecundity rates, and survival rates, but also can help understand the changes of the regional ecological environment and protect the aquatic diversity.
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spelling doaj.art-ea9e72943df341409355f43bcbacc28f2023-09-16T05:29:08ZengElsevierEcological Indicators1470-160X2023-10-01154110506Age-groups classification of Irrawaddy dolphins based on dorsal fin geometric morphological featuresMin Sheng0Qingxuan He1Daoping Yu2Benyue Su3School of Mathematics and Physics, Anqing Normal University, Anqing 246133, ChinaSchool of Mathematics and Physics, Anqing Normal University, Anqing 246133, ChinaResearch Center of Aquatic Organism Conservation and Water Ecosystem Restoration in Anhui Province, Anqing Normal University, Anqing 246133, China; College of Life and Science, Anqing Normal University, Anqing 246133, ChinaSchool of Mathematics and Computer, Tongling University, Tongling 244061, China; School of Computer and Information, Anqing Normal University, Anqing 246133, China; Corresponding author.The Irrawaddy dolphin is a species at the top of the food chain, but its population is currently endangered. Hence, the critical need to take effective conservation measures for Irrawaddy dolphins, particularly in population reproduction. The age structure of Irrawaddy dolphins can be studied to understand the population reproduction status and provide reference for formulating scientific conservation measures. Unlike age estimation methods based on invasive biological tissue detection and individual biological target detection methods based on audio features or image pixel features, this paper proposes the method to extract the Irrawaddy dolphin's dorsal fin geometric morphological features for classifying age-groups by using non-uniform B-spline. Firstly, this method uses non-uniform B-spline method to fit the dorsal fin edge curve of Irrawaddy dolphins. Then the curve is resolved to extract its derivatives, curvature and other features that describe its geometry morphology. Finally, the random forest (RF) was supplemented to classify Irrawaddy dolphins into juvenile, middle-aged and older. Experiments show that the method proposed in this paper could effectively classify older dolphins to an accuracy of 87.36%. The method proposed in this paper is non-invasive not only can help analyze the Irrawaddy dolphin's development trajectory, understand the reproductive maturity, fecundity rates, and survival rates, but also can help understand the changes of the regional ecological environment and protect the aquatic diversity.http://www.sciencedirect.com/science/article/pii/S1470160X23006489Irrawaddy dolphinsAge structureDorsal finGeometric morphological featureNon-uniform B-spline
spellingShingle Min Sheng
Qingxuan He
Daoping Yu
Benyue Su
Age-groups classification of Irrawaddy dolphins based on dorsal fin geometric morphological features
Ecological Indicators
Irrawaddy dolphins
Age structure
Dorsal fin
Geometric morphological feature
Non-uniform B-spline
title Age-groups classification of Irrawaddy dolphins based on dorsal fin geometric morphological features
title_full Age-groups classification of Irrawaddy dolphins based on dorsal fin geometric morphological features
title_fullStr Age-groups classification of Irrawaddy dolphins based on dorsal fin geometric morphological features
title_full_unstemmed Age-groups classification of Irrawaddy dolphins based on dorsal fin geometric morphological features
title_short Age-groups classification of Irrawaddy dolphins based on dorsal fin geometric morphological features
title_sort age groups classification of irrawaddy dolphins based on dorsal fin geometric morphological features
topic Irrawaddy dolphins
Age structure
Dorsal fin
Geometric morphological feature
Non-uniform B-spline
url http://www.sciencedirect.com/science/article/pii/S1470160X23006489
work_keys_str_mv AT minsheng agegroupsclassificationofirrawaddydolphinsbasedondorsalfingeometricmorphologicalfeatures
AT qingxuanhe agegroupsclassificationofirrawaddydolphinsbasedondorsalfingeometricmorphologicalfeatures
AT daopingyu agegroupsclassificationofirrawaddydolphinsbasedondorsalfingeometricmorphologicalfeatures
AT benyuesu agegroupsclassificationofirrawaddydolphinsbasedondorsalfingeometricmorphologicalfeatures