Machine learning in marine ecology: an overview of techniques and applications
Abstract Machine learning covers a large set of algorithms that can be trained to identify
patterns in data. Thanks to the increase in the amount of data and computing power …
patterns in data. Thanks to the increase in the amount of data and computing power …
Coral reef image classification employing improved LDP for feature extraction
NAB Mary, D Dharma - Journal of Visual Communication and Image …, 2017 - Elsevier
This paper presents a scheme for feature extraction that can be applied for classification of
corals in submarine coral reef images. In coral reef image classification, texture features are …
corals in submarine coral reef images. In coral reef image classification, texture features are …
The local binary pattern approach to texture analysis—extensions and applications
T Mäenpää - 2003 - oulurepo.oulu.fi
This thesis presents extensions to the local binary pattern (LBP) texture analysis operator.
The operator is defined as a gray-scale invariant texture measure, derived from a general …
The operator is defined as a gray-scale invariant texture measure, derived from a general …
Perspectives in visual imaging for marine biology and ecology: from acquisition to understanding
JENS GREINERT3, NANCY JACOBSEN STOUT8, DANIEL OB JONES1, ANNE JORDT3,
JEFFREY W. KAELI9, KEVIN KÖSER3, LINDA A. KUHNZ8, DHUGAL LINDSAY10, KIRSTY …
JEFFREY W. KAELI9, KEVIN KÖSER3, LINDA A. KUHNZ8, DHUGAL LINDSAY10, KIRSTY …
True color correction of autonomous underwater vehicle imagery
M Bryson, M Johnson‐Roberson… - Journal of Field …, 2016 - Wiley Online Library
This paper presents an automated approach to recovering the true color of objects on the
seafloor in images collected from multiple perspectives by an autonomous underwater …
seafloor in images collected from multiple perspectives by an autonomous underwater …
Image-based coral reef classification and thematic mapping
This paper presents a novel image classification scheme for benthic coral reef images that
can be applied to both single image and composite mosaic datasets. The proposed method …
can be applied to both single image and composite mosaic datasets. The proposed method …
A novel feature descriptor based coral image classification using extreme learning machine with ameliorated chimp optimization algorithm
A Ganesan, SM Santhanam - Ecological Informatics, 2022 - Elsevier
Coral reefs are one of the most biodiverse and productive ecosystems on earth, which acts
as a habitat and provides food to a wide range of organisms. The coral reefs protect the …
as a habitat and provides food to a wide range of organisms. The coral reefs protect the …
Robotic detection and tracking of crown-of-thorns starfish
This paper presents a novel vision-based underwater robotic system for the identification
and control of Crown-Of-Thorns starfish (COTS) in coral reef environments. COTS have …
and control of Crown-Of-Thorns starfish (COTS) in coral reef environments. COTS have …
Classification of coral reef images from underwater video using neural networks
MSAC Marcos, MN Soriano, CA Saloma - Optics express, 2005 - opg.optica.org
We use a feedforward backpropagation neural network to classify close-up images of coral
reef components into three benthic categories: living coral, dead coral and sand. We have …
reef components into three benthic categories: living coral, dead coral and sand. We have …
[PDF][PDF] Automated species detection: An experimental approach to kelp detection from sea-floor AUV images
This paper presents an experimental study of automated species detection systems suitable
for use with Autonomous Underwater Vehicle (AUV) data. The automated detection systems …
for use with Autonomous Underwater Vehicle (AUV) data. The automated detection systems …