A robust machine vision system for body measurements of beef calves

Measuring body dimensions is a useful method of assessing the health and growth of young beef cattle. However, performing these measurements in a barn environment can present a number of unique challenges. The objective of this paper is to design an image capture system and image processing algorith...

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Autores principales:	David Weales, Medhat Moussa, Cole Tarry
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Livestock Beef cattle RGB-D Camera Image processing 3D Vision Agriculture (General) S1-972 Agricultural industries HD9000-9495
Acceso en línea:	https://doaj.org/article/4699b7e965c6446e81f774b76db64abc
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id	oai:doaj.org-article:4699b7e965c6446e81f774b76db64abc
record_format	dspace
spelling	oai:doaj.org-article:4699b7e965c6446e81f774b76db64abc2021-11-22T04:33:35ZA robust machine vision system for body measurements of beef calves2772-375510.1016/j.atech.2021.100024https://doaj.org/article/4699b7e965c6446e81f774b76db64abc2021-12-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2772375521000241https://doaj.org/toc/2772-3755Measuring body dimensions is a useful method of assessing the health and growth of young beef cattle. However, performing these measurements in a barn environment can present a number of unique challenges. The objective of this paper is to design an image capture system and image processing algorithm that can meet these challenges. The system uses two RGB-D cameras to collect images from the top-left and top-right of the calf. Images were collected in a barn environment along with ground truth body measurements. Colour image processing was used to remove the background by making use of a deep learning instance segmentation model for each camera. The segmented data from the two cameras was registered to create a 3D image of the calf, which was then used to measure a few key body dimensions. The experimental results showed a mean error of 0.2 cm for heart girth, -0.8 cm for withers height, -0.2 cm for midpiece height, and -2.1 cm for pin height.David WealesMedhat MoussaCole TarryElsevierarticleLivestockBeef cattleRGB-D CameraImage processing3D VisionAgriculture (General)S1-972Agricultural industriesHD9000-9495ENSmart Agricultural Technology, Vol 1, Iss , Pp 100024- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Livestock Beef cattle RGB-D Camera Image processing 3D Vision Agriculture (General) S1-972 Agricultural industries HD9000-9495
spellingShingle	Livestock Beef cattle RGB-D Camera Image processing 3D Vision Agriculture (General) S1-972 Agricultural industries HD9000-9495 David Weales Medhat Moussa Cole Tarry A robust machine vision system for body measurements of beef calves
description	Measuring body dimensions is a useful method of assessing the health and growth of young beef cattle. However, performing these measurements in a barn environment can present a number of unique challenges. The objective of this paper is to design an image capture system and image processing algorithm that can meet these challenges. The system uses two RGB-D cameras to collect images from the top-left and top-right of the calf. Images were collected in a barn environment along with ground truth body measurements. Colour image processing was used to remove the background by making use of a deep learning instance segmentation model for each camera. The segmented data from the two cameras was registered to create a 3D image of the calf, which was then used to measure a few key body dimensions. The experimental results showed a mean error of 0.2 cm for heart girth, -0.8 cm for withers height, -0.2 cm for midpiece height, and -2.1 cm for pin height.
format	article
author	David Weales Medhat Moussa Cole Tarry
author_facet	David Weales Medhat Moussa Cole Tarry
author_sort	David Weales
title	A robust machine vision system for body measurements of beef calves
title_short	A robust machine vision system for body measurements of beef calves
title_full	A robust machine vision system for body measurements of beef calves
title_fullStr	A robust machine vision system for body measurements of beef calves
title_full_unstemmed	A robust machine vision system for body measurements of beef calves
title_sort	robust machine vision system for body measurements of beef calves
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/4699b7e965c6446e81f774b76db64abc
work_keys_str_mv	AT davidweales arobustmachinevisionsystemforbodymeasurementsofbeefcalves AT medhatmoussa arobustmachinevisionsystemforbodymeasurementsofbeefcalves AT coletarry arobustmachinevisionsystemforbodymeasurementsofbeefcalves AT davidweales robustmachinevisionsystemforbodymeasurementsofbeefcalves AT medhatmoussa robustmachinevisionsystemforbodymeasurementsofbeefcalves AT coletarry robustmachinevisionsystemforbodymeasurementsofbeefcalves
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A robust machine vision system for body measurements of beef calves

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