Essays about: "Master thesis image processing"

Showing result 1 - 5 of 66 essays containing the words Master thesis image processing.

  1. 1. A comparison between tomographic and generated open cell metal foam structures

    University essay from Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaper

    Author : Jonathan Ebbesson; [2023]
    Keywords : Technology and Engineering;

    Abstract : 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. READ MORE

  3. 2. Procedural Natural Texture Generation on a Global Scale

    University essay from Linköpings universitet/Informationskodning

    Author : Anna Pohl Lundgren; [2023]
    Keywords : computer graphics; procedural generation; procedural textures; gpu; image processing; satellite imagery; real time; real-time; shadow detection;

    Abstract : This Master’s thesis investigates the application of dynamically generated procedural terrain textures for texturing 3D representations of the Earth’s surface. The study explores techniques to overcome limitations of the currently most common method – projecting satellite imagery onto the mesh – such as insufficient resolution for close-up views and challenges in accommodating external lighting models. READ MORE

  4. 3. Instance Segmentation for Printed Circuit Board (PCB) Component Analysis : Exploring CNNs and Transformers for Component Detection on Printed Circuit Boards

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Oliver Möller; [2023]
    Keywords : Deep Learning; Computer Vision; Image Processing; Object Detection; Instance Segmentation; Printed Circuit Board PCB ; Djupinlärning; Datorseende; Bildbehandling; Objektdetektering; Instanssegmentering; Tryckt kretskort;

    Abstract : In the intricate domain of Printed Circuit Boards (PCBs), object detection poses unique challenges, particularly given the broad size spectrum of components, ranging from a mere 2 pixels to several thousand pixels within a single high-resolution image, often averaging 4000x3000 pixels. Such resolutions are atypical in the realm of deep learning for computer vision, making the task even more demanding. READ MORE

  5. 4. Automatic text placement on maps using deep learning keypoint detection models

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Author : Azin Khosravi Khorashad; [2022]
    Keywords : machine learning; Stacked hourglass networks; attention mechanism; CNN; geomatics; Earth and Environmental Sciences;

    Abstract : Labeling the map is one of the most essential parts of the cartographic process that requires a huge time and energy. It is proven that the automation of map labeling is an NP-hard problem. There have been many research studies that tried to solve it such as rule-based methods, metaheuristics, and integer programming. READ MORE

  6. 5. Aerial View Image-Goal Localization with Reinforcement Learning

    University essay from Lunds universitet/Matematik LTH

    Author : John Backsund; Anton Samuelsson; [2022]
    Keywords : reinforcement learning; UAV; machine learning; policy gradient; artificial intelligence; reinforce; Technology and Engineering;

    Abstract : With an increased amount and availability of unmanned aerial vehicles (UAVs) and other remote sensing devices (e.g. satellites) we have recently seen an explosion in computer vision methodologies tailored towards processing and understanding aerial view data. READ MORE