Sökning: "image saliency"

Visar resultat 1 - 5 av 12 uppsatser innehållade orden image saliency.

  1. 1. Saliency driven lossy image compression using machine learning

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Sebastian Fällman; [2023]
    Nyckelord :machine learning; image compression;

    Sammanfattning : Since the introduction of digital media for consumers in the 1990s, the amount of images used in everyday life has grown exponentially. All these images need to be stored and broadcasted from some storage device, which has been made possible with the use of image compression algorithms such as JPG. LÄS MER

  3. 2. Development and evaluation of an inter-subject image registration method for body composition analysis for three slice CT images

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Hugo Dahlberg; [2022]
    Nyckelord :Medical imaging; Image registration; SCAPIS;

    Sammanfattning : Over 30 000 liver, abdomen, and thigh slices have been acquired by computed tomography for the SCAPIS and IGT study. To utilise the full potential of the large cohort and enable statistical pixel-wise body composition analysis and visualisation of associations with other biomarkers, a point-to-point correspondence between the scans is needed. LÄS MER

  4. 3. Tailored Deep Degression for use on MRI-Scan Analysis

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för visuell information och interaktion

    Författare :Filip Marttala; [2022]
    Nyckelord :MRI; UK Biobank; Age Prediction; Liver Fat Prediction;

    Sammanfattning : UK Biobank is a British clinical study containing over 40 000 Magnetic Resonance Images (MRI) with 100 000 MRI planned of participants aged 44-82 as well as a large amount of related medical data. Analyzing these images with a neural network to find relations between the information in an MRI image and various medical data could lead to interesting medical revelations. LÄS MER

  5. 4. Comparing Human Reasoning and Explainable AI

    Kandidat-uppsats, Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Författare :Carl Johan Helgstrand; Niklas Hultin; [2022]
    Nyckelord :Explainable AI; XAI; Visual Explanations; Saliency Maps; Artificial Intelligence;

    Sammanfattning : Explainable AI (XAI) is a research field dedicated to formulating avenues of breaching the black box nature of many of today’s machine learning models. As society finds new ways of applying these models in everyday life, certain risk thresholds are crossed when society replaces human decision making with autonomous systems. LÄS MER

  7. 5. Self-calibrating eye tracker using imagesaliency : Självkalibrerande ögonspårare medhjälp av image saliency

    M1-uppsats, KTH/Hälsoinformatik och logistik

    Författare :Gabriel Vega; [2022]
    Nyckelord :Eye tracker; image saliency; saliency map; fovea centralis; fovea offset; static saliency detection; simpleblobdetector; parameters; fovea hypothesis.; Ögonspårning; image saliency; kartor; fovea centralis; fovea offset; static saliency detection; simpleblobdetector; parameterar; fovea hypotes.;

    Sammanfattning : Self-calibrating eye tracker using imagesaliency .... LÄS MER