Sökning: "Object Based Image Analysis"

Visar resultat 1 - 5 av 93 uppsatser innehållade orden Object Based Image Analysis.

  1. 1. Visualization and analysis of object states using diffusion models and PyTorch

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

    Författare :Christopher Nyberg; [2024]
    Nyckelord :;

    Sammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER

  3. 2. Image Segmentation and Object Identification in Cancer Tissue Slides from Fluorescence Microscopy

    Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen Vi3

    Författare :Sebastian Eriksson; Fredrik Forsberg; [2023]
    Nyckelord :image analysis; cancer research; fluorescent microscopy; image segmentation; bildanalys; cancerforskning; fluorescensmikroskopi; bildsegmentering;

    Sammanfattning : In cancer research, there is a need to make accurate spatial measurements in multi-layered fluorescence microscopy images. Researchers would like to measure distances in and between biological objects such as nerves and tumours, to investigate questions which includes if nerve distribution in and around tumours can have a prognostic value in cancer diagnostics. LÄS MER

  4. 3. Som en spegelbild : Studiet av dräkt i ett tvärmetodologiskt möte mellan konst- och arkivvetenskap

    Master-uppsats, Linnéuniversitetet/Institutionen för musik och bild (MB)

    Författare :Sofia Särdquist; [2023]
    Nyckelord :;

    Sammanfattning : Dräkthistoria är ett tvärvetenskapligt område med möten mellan flera akademiska discipliner. Denna uppsats utforskar mötet mellan konstvetenskap och arkivvetenskap, utifrån teoretiska perspektiv och metodologi i konstvetenskapliga dräktstudier som baseras på text i form av uppgifter i arkiv, särskilt bouppteckningar. LÄS MER

  5. 4. GIS and remote sensing based mapping of microtopography and vegetation composition in a boreal mire complex

    Master-uppsats, SLU/Dept. of Forest Ecology and Management

    Författare :Nils Helge Havertz; [2023]
    Nyckelord :Microtopography modelling; Remote sensing; Boreal mixed mires; Object Based Image Analysis OBIA ; random forest RF ;

    Sammanfattning : Small scale variations in mire surface elevation referred to as microtopography are fundamental characteristics of mire ecosystems especially in the boreal region. Microtopography commonly classified into hummocks and hollows play a major role in several ecological, hydrological and biogeochemical processes including vegetation composition and carbon and methane dynamics. LÄS MER

  7. 5. Failure Inference in Drilling Bits: : Leveraging YOLO Detection for Dominant Failure Analysis

    Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

    Författare :Gnana Spandana Akumalla; [2023]
    Nyckelord :Computer vision; Image processing; Drill bit failure detection; CNN; YOLOv5; FNN; YOLOv8; Dataset; StyleGAN-ADA; Ethics; Sustainability; Artificial Intellegence; Tricone drill bit; Object detection.;

    Sammanfattning : Detecting failures in tricone drill bits is crucial in the mining industry due to their potential consequences, including operational losses, safety hazards, and delays in drilling operations. Timely identification of failures allows for proactive maintenance and necessary measures to ensure smooth drilling processes and minimize associated risks. LÄS MER