Sökning: "bildsegmentering"

Visar resultat 11 - 15 av 34 uppsatser innehållade ordet bildsegmentering.

1. 11. Screw Hole Detection in Industrial Products using Neural Network based Object Detection and Image Segmentation : A Study Providing Ideas for Future Industrial Applications

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

   Författare :Jakob Melki; [2022]
   Nyckelord :Artificial intelligence AI ; Automated assembly and disassembly; Computer vision; Machine learning; Neural networks; Object detection; Screw hole detection; Semantic segmentation; Artificiell intelligens AI ; Automatiserad montering och demontering; Datorseende; Maskininlärning; Neurala nätverk; Objekt detektering; Skruvhålsdetektering; Semantisk segmentering;

   Sammanfattning : This project is about screw hole detection using neural networks for automated assembly and disassembly. In a lot of industrial companies, such as Ericsson AB, there are products such as radio units or filters that have a lot of screw holes. LÄS MER

3. 12. Road Damage Segmentation for Mobile Hardware

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

   Författare :Martti Yap; [2021]
   Nyckelord :Road Damage; Deep Learning; Image Segmentation.; Vägskador; Djupinlärning; Bildsegmentering.;

   Sammanfattning : The detection and early repair of road damage are paramount for the quality and safety of roads. Current detection efforts typically rely on Deep Learning methods for object detection with bounding boxes, with calculations performed on high-performance hardware. LÄS MER

4. 13. Localization of fractures in drill cores using Deep Learning

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

   Författare :Felix Magnell; [2021]
   Nyckelord :;

   Sammanfattning : Investigating and assessing rock structures requires extensive manual work, where geologists measure the fractures in drill cores to get a better understanding of the condition of the underlying rock. This study investigates the possibility to use Deep Learning for localizing fractures in images of drill cores, automating and facilitating the work of geologists. LÄS MER

5. 14. Data Augmentation to Improve Cross-Domain Generalization in Deep Learning MRI Segmentation

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Rasmus Helander; [2021]
   Nyckelord :deep learning; medical imaging; mri; segmentation; data augmentation; cyclegan; noisy labels; Mathematics and Statistics;

   Sammanfattning : Semantic segmentation of medical images is an important task with many applications. However, manually delineating 3D images is time-consuming and the demand for automation is high. For many image segmentation tasks, deep learning has provided state-of-the-art results. LÄS MER

7. 15. Road Segmentation and Optimal Route Prediction using Deep Neural Networks and Graphs

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Viktor Ossmark; [2021]
   Nyckelord :statistics; applied mathematics; machine learning; computer vision; deep learning; satellite data; remote sensing; image segmentation; optimal routing; deep neural networks; graphs; AI; statistik; tillämpad matematik; maskininlärning; djup inlärning; datorseende; satellitdata; bildsegmentering; optimala rutter; grafer; AI;

   Sammanfattning : Observing the earth from above is a great way of understanding our world better. From space, many complex patterns and relationships on the ground can be identified through high-quality satellite data. LÄS MER