Sökning: "pixel"

Visar resultat 21 - 25 av 431 uppsatser innehållade ordet pixel.

1. 21. 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

3. 22. The development of a Hardware-in-the-Loop test setup for event-based vision near-space space objects.

   Master-uppsats, Luleå tekniska universitet/Rymdteknik

   Författare :Rik van den Boogaard; [2023]
   Nyckelord :Camera optics; Event-based camera; HASTE; Hardware-in-the-Loop testbench; Harris corners; KLT; Asteroid; Frame-based camera; Near-space objects; Planetary exploration; Space-simulated conditions;

   Sammanfattning : The purpose of this thesis work was to develop a Hardware-in-the-Loop imaging setup that enables experimenting with an event-based and frame-based camera under simulated space conditions. The generated data sets were used to compare visual navigation algorithms in terms of an event-based and frame-based feature detection and tracking algorithm. LÄS MER

4. 23. A real-time Multi-modal fusion model for visible and infrared images : A light-weight and real-time CNN-based fusion model for visible and infrared images in surveillance

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

   Författare :Jin Wanqi; [2023]
   Nyckelord :Image fusion; deep learning; surveillance; CNN; real time; Bildfusion; djupinlärning; övervakning; CNN; realtid;

   Sammanfattning : Infrared images could highlight the semantic areas like pedestrians and be robust to luminance changes, while visible images provide abundant background details and good visual effects. Multi-modal image fusion for surveillance application aims to generate an informative fused images from two source images real-time, so as to facilitate surveillance observatory or object detection tasks. LÄS MER

5. 24. Camera Distortion Calibration through Fringe Pattern Phase Analysis

   Master-uppsats, Linköpings universitet/Datorseende

   Författare :Karl Karlsson; [2023]
   Nyckelord :fringe-pattern; distortion; monogenic signal; phase analysis;

   Sammanfattning : The goal of this thesis is to use fringe-pattern phase analysis to calibrate the distortion of a camera lens. The benefit of using this method is that the distortion can be calculated using data from each individual pixel and the methodology does not need any model. LÄS MER

7. 25. The Speed of Clouds : Utilizing Adaptive Sampling to Optimize a Real-Time Volumetric Cloud Renderer

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

   Författare :Emrik Hydén; [2023]
   Nyckelord :Volumetric clouds; Ray marching; Bilinear interpolation; Adaptive sampling; Unity3D; Volymetriska moln; Ray marching; Bilinjär interpolering; Adaptiv sampling; Unity3D;

   Sammanfattning : Volumetric clouds are often used in video games in order to improve the realism or graphical quality of the game. However, in order to achieve real-time rendered clouds, optimizations have to be implemented as part of the rendering algorithm. LÄS MER