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2019 | OriginalPaper | Buchkapitel

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

verfasst von : Anders Jørgensen, Malte Pedersen, Rikke Gade, Jens Fagertun, Thomas B. Moeslund

Erschienen in: Computer Vision – ACCV 2018 Workshops

Verlag: Springer International Publishing

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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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Vorheriges Kapitel LoANs: Weakly Supervised Object Detection with Localizer Assessor Networks

Nächstes Kapitel Anomaly Detection Using GANs for Visual Inspection in Noisy Training Data

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Titel: Reaching Behind Specular Highlights by Registration of Two Images of Broiler Viscera
verfasst von: Anders Jørgensen
Malte Pedersen
Rikke Gade
Jens Fagertun
Thomas B. Moeslund
Verlag: Springer International Publishing
Buch: Computer Vision – ACCV 2018 Workshops
Print ISBN: 978-3-030-21073-1

Electronic ISBN: 978-3-030-21074-8

Copyright-Jahr: 2019
DOI: https://doi.org/10.1007/978-3-030-21074-8_30

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