Reaching behind Specular Highlights by Registration of Two Images of Broiler Viscera

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Resumé

The manual postmortem inspection of broilers and their viscera is becoming a bottleneck as the slaughter rate increases. Computer vision can assist veterinarians during the inspection, but specular highlights can hide crucial details when inspecting for diseases on the viscera set. This study aims to restore details behind these specular highlights by capturing two images of the same viscera using shifting light positions. The dataset consists of images captured in-line at a poultry processing plant. The method achieves an average SSIM score of 0.96 over a test set of 100 image sets. The result is visually pleasing images with correct textural information instead of specular highlights.
OriginalsprogEngelsk
Titel Computer Vision – ACCV 2018 Workshops
ForlagSpringer
Publikationsdatojun. 2019
ISBN (Trykt)978-3-030-21073-1
ISBN (Elektronisk)978-3-030-21074-8
DOI
StatusUdgivet - jun. 2019
BegivenhedAsian Conference on Computer Vision - Perth, Australien
Varighed: 2 dec. 20186 dec. 2018

Konference

KonferenceAsian Conference on Computer Vision
LandAustralien
ByPerth
Periode02/12/201806/12/2018
NavnLecture Notes in Computer Science
Vol/bind11367
ISSN0302-9743

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Inspection
Poultry
Computer vision
Processing

Citer dette

Jørgensen, A., Pedersen, M., Gade, R., Fagertun, J., & Moeslund, T. B. (2019). Reaching behind Specular Highlights by Registration of Two Images of Broiler Viscera. I Computer Vision – ACCV 2018 Workshops Springer. Lecture Notes in Computer Science, Bind. 11367 https://doi.org/10.1007/978-3-030-21074-8_30
Jørgensen, Anders ; Pedersen, Malte ; Gade, Rikke ; Fagertun, Jens ; Moeslund, Thomas B. / Reaching behind Specular Highlights by Registration of Two Images of Broiler Viscera. Computer Vision – ACCV 2018 Workshops. Springer, 2019. (Lecture Notes in Computer Science, Bind 11367).
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abstract = "The manual postmortem inspection of broilers and their viscera is becoming a bottleneck as the slaughter rate increases. Computer vision can assist veterinarians during the inspection, but specular highlights can hide crucial details when inspecting for diseases on the viscera set. This study aims to restore details behind these specular highlights by capturing two images of the same viscera using shifting light positions. The dataset consists of images captured in-line at a poultry processing plant. The method achieves an average SSIM score of 0.96 over a test set of 100 image sets. The result is visually pleasing images with correct textural information instead of specular highlights.",
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Jørgensen, A, Pedersen, M, Gade, R, Fagertun, J & Moeslund, TB 2019, Reaching behind Specular Highlights by Registration of Two Images of Broiler Viscera. i Computer Vision – ACCV 2018 Workshops. Springer, Lecture Notes in Computer Science, bind 11367, Perth, Australien, 02/12/2018. https://doi.org/10.1007/978-3-030-21074-8_30

Reaching behind Specular Highlights by Registration of Two Images of Broiler Viscera. / Jørgensen, Anders; Pedersen, Malte; Gade, Rikke; Fagertun, Jens; Moeslund, Thomas B.

Computer Vision – ACCV 2018 Workshops. Springer, 2019. (Lecture Notes in Computer Science, Bind 11367).

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

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Jørgensen A, Pedersen M, Gade R, Fagertun J, Moeslund TB. Reaching behind Specular Highlights by Registration of Two Images of Broiler Viscera. I Computer Vision – ACCV 2018 Workshops. Springer. 2019. (Lecture Notes in Computer Science, Bind 11367). https://doi.org/10.1007/978-3-030-21074-8_30