Sökning: "Image Based Modelling"

Visar resultat 1 - 5 av 39 uppsatser innehållade orden Image Based Modelling.

  1. 1. Methods for determining focal point and delay for ultrasound arrays and multichannel electronics

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :Svante Rosenlind; [2023]
    Nyckelord :Focusing algorithms; k-wave; Spatiotemporal inverse filter; Gerchberg- Saxton algorithm; Focused ultrasound; Technology and Engineering;

    Sammanfattning : High intensity focused ultrasound is a growing technique for tissue ablation, among other uses, and given its destructive capabilities, there is a need for control of where the energy is delivered. There exist a number of methods for focusing such ultrasound arrays, but these often assume prior knowledge of the impulse response, or require extensive full-system simulations. LÄS MER

  3. 2. Segmentation of Neuronal Cells Using Simplistic Methods : A Comparison of the Mean Shift Algorithm and Otsu’s Method

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

    Författare :Alex Gunnarsson; Filip Karlsson; [2023]
    Nyckelord :;

    Sammanfattning : Information regarding specific neuronal characteristics, such as shape and distribution, is essential for quantifying the brain structure and modelling accurate computer simulations. To this end, it is important to perform cell segmentation; to isolate the cells in a given image from the surrounding tissue, so it can be further analysed. LÄS MER

  4. 3. GIS and remote sensing based mapping of microtopography and vegetation composition in a boreal mire complex

    Master-uppsats, SLU/Dept. of Forest Ecology and Management

    Författare :Nils Helge Havertz; [2023]
    Nyckelord :Microtopography modelling; Remote sensing; Boreal mixed mires; Object Based Image Analysis OBIA ; random forest RF ;

    Sammanfattning : Small scale variations in mire surface elevation referred to as microtopography are fundamental characteristics of mire ecosystems especially in the boreal region. Microtopography commonly classified into hummocks and hollows play a major role in several ecological, hydrological and biogeochemical processes including vegetation composition and carbon and methane dynamics. LÄS MER

  5. 4. Image generation through feature extraction and learning using a deep learning approach

    Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Tibo Bruneel; [2023]
    Nyckelord :Deep Learning; Neural Networks; Deep Generative Learning; Variational Autoencoders; Generative Adversarial Networks; Flow-based Models; Triplet Image Generation; Triplet Loss; Tree Log End Generation; Forestry Application;

    Sammanfattning : With recent advancements, image generation has become more and more possible with the introduction of stronger generative artificial intelligence (AI) models. The idea and ability of generating non-existing images that highly resemble real world images is interesting for many use cases. LÄS MER

  7. 5. Highway Traffic Forecasting with the Diffusion Model : An Image-Generation Based Approach

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

    Författare :Pengnan Chi; [2023]
    Nyckelord :Diffusion model; Traffic forecasting; Generative model; Image processing; Spatial temporal modelling; Diffusionsmodell; Trafikprognos; Generativ modell; Bildbehandling; Rumsligtemporal modellering;

    Sammanfattning : Forecasting of highway traffic is a common practice for real traffic information system, and is of vital importance to traffic management and control on highways. As a typical time-series forecasting task, we want to propose a deep learning model to map the historical sensory traffic values (e.g., speed, flow) to future traffic forecasts. LÄS MER