Sökning: "bild segmentering"

Visar resultat 1 - 5 av 51 uppsatser innehållade orden bild segmentering.

  1. 1. Developing a Neural Network Model for Semantic Segmentation

    M1-uppsats, KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Författare :Ronny Westphal; [2023]
    Nyckelord :Semantic segmentation; neural network; Unity Barracuda; PyTorch; augmented reality; Semantisk segmentering; neurala nätverk; Unity Barracuda; PyTorch; augmenterad verklighet;

    Sammanfattning : This study details the development of a neural network model designed for real-time semantic segmentation, specifically to distinguish sky pixels from other elements within an image. The model is incorporated into a feature for an Augmented Reality application in Unity, leveraging Unity Barracuda—a versatile neural network inference library. LÄS MER

  3. 2. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier

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

    Författare :Ali Muquri; [2023]
    Nyckelord :;

    Sammanfattning : The introduction of machine learning in clinical microbiology is important for aiding clinical laboratories with highly repetitive tasks that are fatiguing, error-prone, and require long employee training time due to the complex nature of the task. A challenging task that belongs to the subareas that need assistance is yeast detection in fluorescence microscopy where various yeast morphologies exist. LÄS MER

  4. 3. 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

  5. 4. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure

    Master-uppsats, KTH/Lantmäteri – fastighetsvetenskap och geodesi

    Författare :Punnawat Siripatthiti; [2023]
    Nyckelord :Computer Vision; Data Augmentation; Object Detection; Crack Detection; Road Damage Detection; Sleeper Defect Detection; datorseende; dataökning; objektdetektering; sprickdetektering; vägbeläggning; järnvägsslipers;

    Sammanfattning : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. LÄS MER

  7. 5. Volumetric Image Segmentation of Lizard Brains

    Master-uppsats, KTH/Tillämpad fysik

    Författare :Yulia Dragunova; [2023]
    Nyckelord :image segmentation; deep learning; atlas; lizard brain; micro-CT; image augmentation; bild segmentering; djupinlärning; atlas; ödelhjärna; mikro-datortomagrofi; datautökning;

    Sammanfattning : Accurate measurement brain region volumes are important in studying brain plasticity, which brings insight into the fundamental mechanisms in animal, memory, cognitive, and behavior research. The traditional methods of brain volume measurements are ellipsoid or histology. LÄS MER