Sökning: "Image transfer"

Visar resultat 1 - 5 av 260 uppsatser innehållade orden Image transfer.

  1. 1. Marknadsföring i fotbollsvärlden. En studie som fördjupar sig i samspelet mellan klubbar och fotbollsspelares varumärken

    Kandidat-uppsats, Göteborgs universitet/Företagsekonomiska institutionen

    Författare :Lucas Thijssen; Gabriel Ferriere; [2024-01-23]
    Nyckelord :Brand; Brand image; Branding theory; Celebrity endorsement theory; Emotional branding theory; Fan loyalty; Star player;

    Sammanfattning : In the world of football, the divide between Swedish clubs and the international competition has only increased in recent years. The financing of a club is a big part of its competitive force, with the transfer market being an important aspect in having a successful club and assembling a strong squad. LÄS MER

  3. 2. 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

  4. 3. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment

    Master-uppsats,

    Författare :Venkata Vamsi Challa; [2024]
    Nyckelord :Semantic Segmentation; Scene Classification; Environment Recognition; Machine Learning; Deep Learning; Image Classification; Vision Transformers; SAM Segment Anything Model ; Image Segmentation; Contour-aware semantic segmentation;

    Sammanfattning : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. LÄS MER

  5. 4. Image-classification for Brain Tumor using Pre-trained Convolutional Neural Network

    Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Författare :Bushra Alsabbagh; [2023]
    Nyckelord :Brain tumor; Deep learning; Convolutional Neural Network CNN ; diagnosis; Image classification; pre-trained models; dataset; economic impact.; Cancer; Hjärntumör; Artificiell intelligens AI ; djupinlärning; konvolutionellt neuralt nätverk CNN ; Diagnostik; Bildklassificering; förtränade modeller; dataset.;

    Sammanfattning : Brain tumor is a disease characterized by uncontrolled growth of abnormal cells in the brain. The brain is responsible for regulating the functions of all other organs, hence, any atypical growth of cells in the brain can have severe implications for its functions. LÄS MER

  7. 5. Quality enhancement of time-resolved computed tomography scans with cycleGAN

    Master-uppsats, Lunds universitet/Synkrotronljusfysik; Lunds universitet/Fysiska institutionen

    Författare :Johannes Stubbe; [2023]
    Nyckelord :carbon fibers; carbon fibres; microfibers; tomography; deep learning; cycleGAN; time-resolved tomography; Physics and Astronomy;

    Sammanfattning : Time-resolved x-ray tomography enables us to dynamically and non-destructively study the interior of a specimen. The obtainable temporal resolution is limited by the x-ray flux and the desired spatial resolution. LÄS MER