RGB-D Segmentation of Poultry Entrails

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

3 Citationer (Scopus)
289 Downloads (Pure)

Resumé

This paper presents an approach for automatic visual inspection of chicken entrails in RGB-D data. The point cloud is first over-segmented into supervoxels based on color, spatial and geometric information. Color, position and texture features are extracted from each of the resulting supervoxels and passed to a Random Forest classifier, which classifies the supervoxels as either belonging to heart, lung, liver or misc. The dataset consists of 150 individual entrails, with 30 of these being reserved for evaluation. Segmentation performance is evaluated on a voxel-by-voxel basis, achieving an average Jaccard index of 61.5% across the four classes of organs. This is a 5.9% increase over the 58.1% achieved with features derived purely from 2D.
OriginalsprogEngelsk
TitelIX International Conference on Articulated Motion and Deformable Objects
ForlagSpringer
Publikationsdato2016
Sider168-174
ISBN (Trykt)978-3-319-41778-3
DOI
StatusUdgivet - 2016
BegivenhedIX Conference on Articulated Motion and Deformable Objects - Mallorca, Spanien
Varighed: 13 jul. 201615 jul. 2016
http://amdo2016.uib.es/

Konference

KonferenceIX Conference on Articulated Motion and Deformable Objects
LandSpanien
ByMallorca
Periode13/07/201615/07/2016
Internetadresse
NavnLecture Notes in Computer Science
Vol/bind9756
ISSN0302-9743

Fingerprint

Poultry
Color
Liver
Classifiers
Textures
Inspection

Citer dette

Philipsen, M. P., Jørgensen, A., Guerrero, S. E., & Moeslund, T. B. (2016). RGB-D Segmentation of Poultry Entrails. I IX International Conference on Articulated Motion and Deformable Objects (s. 168-174). Springer. Lecture Notes in Computer Science, Bind. 9756 https://doi.org/10.1007/978-3-319-41778-3_17
Philipsen, Mark Philip ; Jørgensen, Anders ; Guerrero, Sergio Escalera ; Moeslund, Thomas B. / RGB-D Segmentation of Poultry Entrails. IX International Conference on Articulated Motion and Deformable Objects. Springer, 2016. s. 168-174 (Lecture Notes in Computer Science, Bind 9756).
@inproceedings{5ee8749f56854958ace0fa91e91ab878,
title = "RGB-D Segmentation of Poultry Entrails",
abstract = "This paper presents an approach for automatic visual inspection of chicken entrails in RGB-D data. The point cloud is first over-segmented into supervoxels based on color, spatial and geometric information. Color, position and texture features are extracted from each of the resulting supervoxels and passed to a Random Forest classifier, which classifies the supervoxels as either belonging to heart, lung, liver or misc. The dataset consists of 150 individual entrails, with 30 of these being reserved for evaluation. Segmentation performance is evaluated on a voxel-by-voxel basis, achieving an average Jaccard index of 61.5{\%} across the four classes of organs. This is a 5.9{\%} increase over the 58.1{\%} achieved with features derived purely from 2D.",
author = "Philipsen, {Mark Philip} and Anders J{\o}rgensen and Guerrero, {Sergio Escalera} and Moeslund, {Thomas B.}",
year = "2016",
doi = "10.1007/978-3-319-41778-3_17",
language = "English",
isbn = "978-3-319-41778-3",
series = "Lecture Notes in Computer Science",
publisher = "Springer",
pages = "168--174",
booktitle = "IX International Conference on Articulated Motion and Deformable Objects",
address = "Germany",

}

Philipsen, MP, Jørgensen, A, Guerrero, SE & Moeslund, TB 2016, RGB-D Segmentation of Poultry Entrails. i IX International Conference on Articulated Motion and Deformable Objects. Springer, Lecture Notes in Computer Science, bind 9756, s. 168-174, IX Conference on Articulated Motion and Deformable Objects, Mallorca, Spanien, 13/07/2016. https://doi.org/10.1007/978-3-319-41778-3_17

RGB-D Segmentation of Poultry Entrails. / Philipsen, Mark Philip; Jørgensen, Anders; Guerrero, Sergio Escalera; Moeslund, Thomas B.

IX International Conference on Articulated Motion and Deformable Objects. Springer, 2016. s. 168-174 (Lecture Notes in Computer Science, Bind 9756).

Publikation: Bidrag til bog/antologi/rapport/konference proceedingKonferenceartikel i proceedingForskningpeer review

TY - GEN

T1 - RGB-D Segmentation of Poultry Entrails

AU - Philipsen, Mark Philip

AU - Jørgensen, Anders

AU - Guerrero, Sergio Escalera

AU - Moeslund, Thomas B.

PY - 2016

Y1 - 2016

N2 - This paper presents an approach for automatic visual inspection of chicken entrails in RGB-D data. The point cloud is first over-segmented into supervoxels based on color, spatial and geometric information. Color, position and texture features are extracted from each of the resulting supervoxels and passed to a Random Forest classifier, which classifies the supervoxels as either belonging to heart, lung, liver or misc. The dataset consists of 150 individual entrails, with 30 of these being reserved for evaluation. Segmentation performance is evaluated on a voxel-by-voxel basis, achieving an average Jaccard index of 61.5% across the four classes of organs. This is a 5.9% increase over the 58.1% achieved with features derived purely from 2D.

AB - This paper presents an approach for automatic visual inspection of chicken entrails in RGB-D data. The point cloud is first over-segmented into supervoxels based on color, spatial and geometric information. Color, position and texture features are extracted from each of the resulting supervoxels and passed to a Random Forest classifier, which classifies the supervoxels as either belonging to heart, lung, liver or misc. The dataset consists of 150 individual entrails, with 30 of these being reserved for evaluation. Segmentation performance is evaluated on a voxel-by-voxel basis, achieving an average Jaccard index of 61.5% across the four classes of organs. This is a 5.9% increase over the 58.1% achieved with features derived purely from 2D.

U2 - 10.1007/978-3-319-41778-3_17

DO - 10.1007/978-3-319-41778-3_17

M3 - Article in proceeding

SN - 978-3-319-41778-3

T3 - Lecture Notes in Computer Science

SP - 168

EP - 174

BT - IX International Conference on Articulated Motion and Deformable Objects

PB - Springer

ER -

Philipsen MP, Jørgensen A, Guerrero SE, Moeslund TB. RGB-D Segmentation of Poultry Entrails. I IX International Conference on Articulated Motion and Deformable Objects. Springer. 2016. s. 168-174. (Lecture Notes in Computer Science, Bind 9756). https://doi.org/10.1007/978-3-319-41778-3_17