Sökning: "image segmentation"

Visar resultat 21 - 25 av 431 uppsatser innehållade orden image segmentation.

  1. 21. Identification of Fibers in Micro-CT Images of Paperboard Using Deep Learning

    Uppsats för yrkesexamina på avancerad nivå, Lunds universitet/Hållfasthetslära; Lunds universitet/Institutionen för byggvetenskaper

    Författare :David Rydgård; [2023]
    Nyckelord :Fiber networks; Paperboard mechanics; Deep learning; Tomography; Image analysis; Technology and Engineering;

    Sammanfattning : This master thesis project explores the possibility of using deep learning to segment individual fibers in three-dimensional tomography images of paperboard fiber networks. We test a method which has previously been used to segment fibers in images of glass fiber reinforced polymers. LÄS MER

  3. 22. Automated annotation scheme for extending bounding box representation to detect ship locations.

    Master-uppsats, Mälardalens universitet/Akademin för innovation, design och teknik

    Författare :Oksana Havryliuk; [2023]
    Nyckelord :;

    Sammanfattning : Bounding boxes often provide limited information about the shape and location of an object on an image. Their limitations lie in their reduced ability to correctly represent objects that have complex shapes or are located at an angle. LÄS MER

  4. 23. 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

  5. 24. Hybrid Deep Learning approach for Lane Detection : Combining convolutional and transformer networks with a post-processing temporal information mechanism, for efficient road lane detection on a road image scene

    Master-uppsats, Jönköping University/Jönköping AI Lab (JAIL)

    Författare :Dimitrios Zarogiannis; Stelio Bompai; [2023]
    Nyckelord :Lane Detection; CNN; Vision Transformer; Deep Learning; Semantic Segmentation; Computer Vision;

    Sammanfattning : Lane detection is a crucial task in the field of autonomous driving and advanced driver assistance systems. In recent years, convolutional neural networks (CNNs) have been the primary approach for solving this problem. LÄS MER

  7. 25. Automation of forest road inventory using computer vision and machine learning

    Uppsats för yrkesexamina på avancerad nivå, Umeå universitet/Institutionen för fysik

    Författare :Jacques de Flon; [2023]
    Nyckelord :Computer vision; Machine Learning; Image recognition; forestry; road inventory; pothole; gravel road;

    Sammanfattning : There are around 300, 000 kilometer of gravel roads throughout the Swedish countryside, used every day by common people and companies. These roads face constant wear due to harsh weather as well as from heavy traffic, and thus, regular maintenance is required to keep up the road standard. LÄS MER