Sökning: "Morfologiska Operationer"

Hittade 4 uppsatser innehållade orden Morfologiska Operationer.

  1. 1. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning

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

    Författare :Ziyou Li; [2023]
    Nyckelord :Unsupervised Learning; Autoencoders; Image Clustering; Fault Detection and Diagnosis; Morphological Operations; Hardware-in-Loop; Advanced DriverAssistance System; Oövervakad inlärning; Autoencoders; Bildklustering; Felfindning och Diagnostik; Morfologiska Operationer; Hardware-in-Loop; Avancerade Förarassistanssystem;

    Sammanfattning : This thesis aims to investigate a fault detection and diagnosis system for automotive cameras using unsupervised learning. 1) Can a front-looking wide-angle camera image dataset be created using Hardware-in-Loop (HIL) simulations? 2) Can an Adversarial Autoencoder (AAE) based unsupervised camera fault detection and diagnosis method be crafted for SPA2 Vehicle Control Unit (VCU) using an image dataset created using Hardware-inLoop? 3) Does using AAE surpass the performance of using Variational Autoencoder (VAE) for the unsupervised automotive camera fault diagnosis model? In the field of camera fault studies, automotive cameras stand out for its complex operational context, particularly in Advanced Driver-Assistance Systems (ADAS) applications. LÄS MER

  3. 2. Automatic Detection of Structural Deformations in Batteries from Imaging data using Machine Learning : Exploring the potential of different approaches for efficient structural deformation detection

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

    Författare :Maira Khan; [2023]
    Nyckelord :CT scan; electrode peaks; jelly roll; keypoints; structural deformation; traditional computer vision; deep neural network; CT-skanning; elektrodtoppar; gelérulle; nyckelpunkter; strukturell deformation; Traditionellt datorseende; djupt neuralt nätverk;

    Sammanfattning : The increasing occurrence of structural deformations in the electrodes of the jelly roll has raised quality concerns during battery manufacturing, emphasizing the need to detect them automatically with the advanced techniques. This thesis aims to explore and provide two models based on traditional computer vision (CV) and deep neural network (DNN) techniques using computed tomography (CT) scan images of jelly rolls to ensure that the product is of high quality. LÄS MER

  4. 3. Automatisk avläsning av stansad text på extrusionsstänger : En utvärdering av bildbehandlingstekniker för användning i ett OCR-system

    Uppsats för yrkesexamina på grundnivå, Högskolan i Gävle/Elektronik

    Författare :Michael Lukkarinen; [2020]
    Nyckelord :;

    Sammanfattning : Detta examensarbete har inriktats mot området för tillverkning av extrusionsstång på Sandvik Materials Technology för att undersöka möjligheten till full spårbarhet av produkter. Nuvarande spårning utförs med hjälp av tre olika nummer: charge-, arbetsorder-, samt individnummer. LÄS MER

  5. 4. Foreground detection in specific outdoor scenes : A review of recognized techniques and proposed improvements for a real-time GPU-based implementation in C++

    Master-uppsats, KTH/Skolan för datavetenskap och kommunikation (CSC)

    Författare :Gustav Sandström; [2016]
    Nyckelord :foreground detection; background subtraction; background removal; real-time image processing;

    Sammanfattning : Correct insertion of computer graphics into live-action broadcasts of outdoor sports requires precise knowledge of the foreground, i.e. players present in the scene. This thesis proposes a foreground detection and segmentation- framework with focus on real-time performance for 1080p resolution. LÄS MER