Browsing NTNU Open by Author "Schellewald, Christian"
Now showing items 1-20 of 24
-
AI-driven Analysis: Image-based quantification of Scale Loss in Fish using Machine Learning and Computer Vision
Fjorden, Thomas (Master thesis, 2024)Å sikre fiskevelferd er avgjørende for bærekraftig lakseoppdrett, med skinnhelse som en viktig helseindikator. Til tross for strenge reguleringer, sliter laksenæringen fortsatt med høye dødsrater, noe som understreker ... -
Assessing Re-Identification Capabilities of Salmon Body Parts Using AI-Based Computer Vision Methods
Wiik, Magnus (Master thesis, 2024)Den teknologiske utviklingen i oppdrettsnæringen har skutt fart, og det er nå mulig å bruke teknologi for å analysere velferden til laks. Man kan hente ut mye informasjon gjennom bilde og video data gjennom maskinlæringsmetoder ... -
Comparing Datasets From Consecutively 3D-Scanned Objects
Solstad, Kim Rune (Master thesis, 2015)Develop a technique for measuring erosion using 3D-scans. -
Comparison of Large Surfaces from Scanned 3-D Objects
Kazakauskas, Vilius (Master thesis, 2014)Registration of three-dimensional objects has vast applications in many areas of science. This research is linked to the international PRESIOUS project, concerning measurement of erosion effects on cultural heritage objects. ... -
Determining spatial feed distribution in sea cage aquaculture using an aerial camera platform
Lien, Andreas Myskja; Schellewald, Christian; Stahl, Annette; Frank, Kevin; Skøien, Kristoffer Rist; Tjølsen, Jan Inge (Journal article; Peer reviewed, 2019)Within this paper we describe an unmanned aerial vehicle (UAV) based method to estimate the spatial feed pellet distribution in salmon fish-cages and exploit it within a case study to determine the radial pellet distribution ... -
Developing a deep learning pipeline for automated salmon welfare analysis by respiration frequency
Høgstedt, Espen Berntzen (Master thesis, 2023)Lakseoppdrett blir stadig viktigere i den globale næringskjeden, noe som nødvendiggjør en dyp forståelse av hvordan interne tilstander i laks som påvirker dennes velferd og økonomiske verdi manifesterer seg gjennom ytre ... -
Development of an Algorithm for Non-Invasive Identification of Salmon Individuals, Using Images from Underwater Video Recordings
Brovoll, Ingeborg Flatin (Master thesis, 2020) -
Hole Detection in Aquaculture Net Cages from Video Footage
Madshaven, Arild; Schellewald, Christian; Stahl, Annette (Peer reviewed; Journal article, 2021)Frequent inspection of salmon cage integrity is essential to early detect and prevent the possible escape of farmed salmon—minimizing the risk of any negative impact for the remaining wild stock of salmon. Current ... -
Identification of spectral signature for in situ real-time monitoring of smoltification
Svendsen, Eirik; Volent, Zsolt; Schellewald, Christian; Tsarau, Andrei; Bjorgan, Asgeir; Venås, Birger; Bloecher, Nina; Bondø, Morten Steen; Føre, Martin; Jónsdóttir, Kristbjörg Edda; Stefansson, Sigurd Olav (Peer reviewed; Journal article, 2021)We describe the use of an optical hyperspectral sensing technique to identify the smoltification status of Atlantic salmon (Salmo salar) based on spectral signatures, thus potentially providing smolt producers with an ... -
Irregularity Detection in Net Pens Exploiting Computer Vision
Schellewald, Christian; Stahl, Annette (Peer reviewed; Journal article, 2022)Protecting the remaining wild salmon stock in Norway is of utmost importance and requires that farmed salmon cannot escape from aquaculture sites. As holes in net-cages are responsible for a large fraction of the escaped ... -
Motion Trajectory Estimation of Salmon Using Stereo Vision
Nygård, Trym Anthonsen; Jahren, Jan Henrik; Schellewald, Christian; Stahl, Annette (Peer reviewed; Journal article, 2022)A main concern for the aquaculture industry is the fish behaviour and welfare. Motion trajectory analysis of salmon at aquaculture farming sites with respect to certain aquaculture operations aims to provide information ... -
Mouth Opening Frequency of Salmon from Underwater Video Exploiting Computer Vision
Schellewald, Christian; Saad, Aya; Stahl, Annette (Journal article; Peer reviewed, 2024)Maintaining fish welfare is one of the most prevailing and challenging tasks in aquaculture production, in particular as there can be more than 200,000 fish present within a single sea cage. Observing this amount of ... -
Objective Analysis of Melanin Spots as Welfare Signals in Atlantic Salmon Using AI-Based Computer Vision
Larsen, Sindre (Master thesis, 2024)Eksportraten av oppdrettslaks har økt raskt, og fisken har blitt en viktig del av den globale matkjeden. Dette har ført til høyere produksjonsrater, der merder nå kan huse opptil 200 000 individer. Imidlertid har denne ... -
Post-processing and visualization techniques for isogeometric analysis results
Stahl, Annette; Kvamsdal, Trond; Schellewald, Christian (Journal article; Peer reviewed, 2016)Isogeometric Analysis (IGA) introduced in 2005 by Hughes et al. (2005) [1] exploits one mathematical basis representation for computer aided design (CAD), geometry and analysis during the entire engineering process. In ... -
Precision fish farming: A new framework to improve production in aquaculture
Føre, Martin; Frank, Kevin; Norton, Tomas; Svendsen, Eirik; Alfredsen, Jo Arve; Dempster, Timothy David; Eguiraun, Harkaitz; Watson, Win; Stahl, Annette; Sunde, Leif Magne; Schellewald, Christian; Skøien, Kristoffer Rist; Alver, Morten; Berckmans, Daniel (Journal article; Peer reviewed, 2017)Aquaculture production of finfish has seen rapid growth in production volume and economic yield over the last decades, and is today a key provider of seafood. As the scale of production increases, so does the likelihood ... -
Robust Fish Cage Hole Detection in Challenging Environments - Rethinking Spatiotemporal Deep Learning and Advanced Computer Vision Techniques
Madshaven, Arild (Master thesis, 2021)I 2019 alene ble nesten 300.000 atlanterhavslaks rapportert rømt fra norske oppdrettsanlegg. Dette antallet tilsvarer over halve den gjenværende villaksbestanden. En vanlig fluktrute går gjennom hull i nota, og regelmessig ... -
Saliency based methods for camera orientation in aquaculture
Harr, Magnus Conrad (Master thesis, 2018)This thesis looks into the applicability of visual saliency as a basis for autonomous camera orientation. Autonomous re-orientation is expected to be a key component in future computer vision-based monitoring systems: a ... -
Sub-pixel accuracy for motion, size and pose estimation of salmon from underwater stereo imaging
Nygård, Trym Anthonsen (Master thesis, 2022)I havbruksnæringen har det blitt mer populært å benytte seg av datasyn som et resultat av et stadig økende fokus på mindre ingripende observasjonsmetoder. Oppdrettere kan i dag benytte seg av høykvalitets kameraer for å ... -
Towards automated welfare monitoring of farmed salmon exploiting deep learning and computer vision
Barstein, Karoline Hokstad (Master thesis, 2021)Bevaring av fiskevelferd er et omfattende tema i oppdrettsnæringen. En industriell laksemerd kan inneholde så mange som 200 000 fisk, og det er utfordrende å overvåke velferden til denne mengden enkeltdyr. Manuelle ... -
Unconventional Biometrics
Barbosa, Igor Barros (Doctoral theses at NTNU;2020:262, Doctoral thesis, 2020)This thesis is a paper collection that focuses on unconventional methods of biometric recognition. Four new approaches are presented and discussed. The first two introduce and explore the concepts behind transient biometrics. ...