Sökning: "Morphological Operations"
Visar resultat 1 - 5 av 20 uppsatser innehållade orden Morphological Operations.
1. Image analysis of Light Optical Microscopy (LOM) images of metallurgical samples
Master-uppsats, Uppsala universitet/Institutionen för informationsteknologiSammanfattning : Processing metals in different ways often requires stringent quality control to ensure the quality of the processed metal. This master's thesis aims to develop methods for evaluating the quality of metals via image analysis rather than inspecting images manually as it traditionally has been done. LÄS MER
2. Assessment of aggregate structure in porous asphalt using X-ray computed tomography
Master-uppsats, KTH/Väg- och banteknikSammanfattning : X-ray computed tomography is a technique that has been successfully utilized to characterize internal microstructure of asphalt mixtures. The city of Linköping (Sweden) developed an action plan to reduce noise; accordingly KTH and VTI developed a method to determine air void content in porous asphalt using x-ray computed tomography and an image processing software called ImageJ. LÄS MER
3. Fault Detection and Diagnosis for Automotive Camera using Unsupervised Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)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
4. 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)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
5. A comparison between tomographic and generated open cell metal foam structures
Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaperSammanfattning : This master thesis project presents steps on the image processing and reconstruction of an aluminium open-cell metal foam from $\mu$CT tomographic data. In addition, it also considers the generation of architecture foams using Voronoi Tessellation in combination with sphere packing algorithms. LÄS MER