Sökning: "Image edge detection"

Visar resultat 1 - 5 av 62 uppsatser innehållade orden Image edge detection.

  1. 1. Finding license-plates in varying lighting conditions using two machine learning methods

    Kandidat-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :André Sturesson; Johannes Böök; [2023]
    Nyckelord :machine learning; license plate; image recognition;

    Sammanfattning : Object detection and machine learning are important fields in Computer science. This report presents two methods to find the bounding box of a license plate and tries to evaluate the best approach to deal with various lighting conditions. LÄS MER

  3. 2. Robust visual SLAM with compressed image data : A study of ORB-SLAM3 performance under extreme image compression

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

    Författare :Guangzhi Wang; [2023]
    Nyckelord :ORB-SLAM3; compression; image feature; localization accuracy; internal parameter; hybrid compressing; brightness enhancement; ORB-SLAM3; kompression; bildfunktion; lokaliseringsnoggrannhet; intern parameter; hybridkomprimering; ljusstyrkeförstärkning;

    Sammanfattning : Offloading SLAM to the edge/cloud is now becoming an attractive option to greatly decrease device energy usage. The new SLAM solution involves compressing image data on the device before transmission, allowing a further decrease in the network bandwidth when performing SLAM at the edge/cloud. LÄS MER

  4. 3. Improving Pith Detection and Automated Log Identification using AI

    Master-uppsats, Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Författare :Muhammad Farooq; [2023]
    Nyckelord :Automated wood log identification; damaged log identification; pith detection; artificial intelligence; computer vision; machine learning; deep learning;

    Sammanfattning : Tracking of tree logs from a harvesting site to its processing site is a legal requirement for timber-based industries. Wood log identification is an important task in the forestry industry and has traditionally relied on manual inspection by trained experts. LÄS MER

  5. 4. Edge Machine Learning for Wildlife Conservation : A part of the Ngulia project

    Master-uppsats, Linköpings universitet/Reglerteknik

    Författare :Richard Gotthard; Marcus Broström; [2023]
    Nyckelord :Edge Machine Learning; Object Detection; Classification; Wildlife Conservation;

    Sammanfattning : The prominence of Edge Machine Learning is increasing swiftly as the performance of microcontrollers continues to improve. By deploying object detection and classification models on edge devices with camera sensors, it becomes possible to locate and identify objects in their vicinity. LÄS MER

  7. 5. Computer Vision for Volume Estimation and Material Classification

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

    Författare :Oliver Lagelius; Ludwig Wässman; [2023]
    Nyckelord :Clustering; DexiNed; Image Processing; SLIC Segmentation; Stereo Vision;

    Sammanfattning : Vehicular automation is a rapidly advancing field within robotics. These autonomous machines have the potential to perform burdensome and dangerous tasks that historically have been executed by humans which has been a long-time goal for the industry. LÄS MER