Sökning: "image processing."

Visar resultat 1 - 5 av 932 uppsatser innehållade orden image processing..

  1. 1. Night Vision Goggle Simulation in a Mixed Reality Flight Simulator with Seamless Integrated Real World

    Magister-uppsats, Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Författare :Sofia Sproge; [2024]
    Nyckelord :Night vision goggles; NVG; Mixed Reality; Flight simulator; Video see-through; VST; Color transfer algorithm; Seamless integration; Post processing;

    Sammanfattning : Night vision goggles (NVGs) are optical devices used to enhance human vision at low light conditions such as nighttime. The image seen through the goggles is brightened but with the consequence of introduced visual limitations and illusions. LÄS MER

  2. 2. En undersökning av metoder förautomatiserad text ochparameterextraktion frånPDF-dokument med NaturalLanguage Processing

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Alexander Värling; Emil Hultgren; [2024]
    Nyckelord :portable document format; faktura; digitalisering; IT-lösningar; optisk teckenigenkänning; textextraktion; naturlig språkbehandling; generative pre-trained transformer; portable document format; faktura; digitalisering; IT-lösningar; optisk teckenigenkänning; textextraktion; naturlig språkbehandling; generative pre-trained transformer;

    Sammanfattning : I dagens affärsmiljö strävar många organisationer efter att automatisera processen för att hämta information från fakturor. Målet är att göra hanteringen av stora mängder fakturor mer effektiv. Trots detta möter man utmaningar på grund av den varierande strukturen hos fakturor. LÄS MER

  3. 3. Risk analysis of implementing Machine Learning in construction projects

    Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

    Författare :Aki Roy; [2024]
    Nyckelord :Construction; Machine Learning; Unstructured Data; Image Processing; Text Processing; Project Analysis; Data Management; Risk Identification;

    Sammanfattning : Machine Learning has significantly influenced development across domains by leveraging incoming and existing data. However, despite its advancements, criticism persists regarding its failure to adequately address real-world problems, with the construction domain being an example. LÄS MER

  4. 4. Quantification of Pharmaceuticals at the sub-cellular level using the NanoSIMS

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Analytisk kemi

    Författare :Maryam Dost; [2024]
    Nyckelord :Mass spectroscopy imaging; AstraZeneca; Nanosims; Therapeutics; pharmacokinetics; pharmacodynamics; Quantitative Visualization; calibration curve; RSF; pharmacology; Data Analysis; Chemistry; Quantification; isotopes; Pharmaceuticals; subcellular; drug; drug target; nucleotide; biodistribution; Bioanalytical electrochemistry; spectroscopy; mass spectrometry; analytical separations; Analytical Chemistry; ROI; Bioanalytical Chemistry; Masspektroskopi avbildning; AstraZeneca; Nanosims; Terapeutik; farmakokinetik; farmakodynamik; Kvantitativ visualisering; kalibreringskurva; RSF; farmakologi; Dataanalys; Kemi; Kvantifiering; isotoper; Läkemedel; subcellulär; läkemedel; läkemedelsmål; bioskopisk elektrofördelning; nukleotid; bioskopisk bioskopisk distribution; masspektrometri; analytiska separationer; analytisk kemi; bioanalytisk kemi;

    Sammanfattning : Mass spectroscopy imaging (MSI) has become a vital tool in modern research due to its ability to visualize the spatial distribution of molecules within tissue samples. The collaboration between researchers at AZ, the University of Gothenburg, and Chalmers University of Technology using the NanoSIMS instrument and MSI-SIMS technology has opened up new avenues of exploration in pharmaceutical development, particularly in examining drugs and metabolites at sub-cellular levels. LÄS MER

  5. 5. Image Quality Assessment Pipeline and Semi-Automated Annotation method for Synthetic Data

    Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Liam Le Tran; Edina Dedovic; [2023-10-24]
    Nyckelord :Facial Expression Recognition; FACS; Action Units; styleGAN2-ada; synthetic data; Image Quality Assessment; Multi-stage Pre-training; Pipeline Processing; Semi-automated Human Annotation;

    Sammanfattning : Predicting human emotions through facial expression, particularly in relation to medication field such as clinical trial settings, has garnered scientific interest in recent years due to significant understanding of the impact of treatment on emotions and social functioning. This thesis aims to improve performance of a FER model using large scale of synthetic data. LÄS MER