Essays about: "thesis for image segmentation using neural network"

Showing result 1 - 5 of 42 essays containing the words thesis for image segmentation using neural network.

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

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

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

    Abstract : 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. READ MORE

  3. 2. Computer Vision for Volume Estimation and Material Classification

    University essay from Mälardalens universitet/Akademin för innovation, design och teknik; Mälardalens universitet

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

    Abstract : 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. READ MORE

  4. 3. Enhancing person re-identification: leveraging DensePose for improving occlusion handling and generalization

    University essay from Lunds universitet/Matematik LTH

    Author : Björn Elwin; Anton Fredriksson; [2023]
    Keywords : Mathematics and Statistics;

    Abstract : In this master’s thesis we propose a DensePose-based person re-identification (re-ID) machine learning algorithm building upon previous research on this topic. DensePose, a deep neural network that performs human body part segmentation on images, forms the foundation of our approach. READ MORE

  5. 4. Dealing With Speckle Noise in Deep Neural Network Segmentation of Medical Ultrasound Images

    University essay from KTH/Skolan för kemi, bioteknologi och hälsa (CBH)

    Author : Olmo Daniel; [2022]
    Keywords : Deep Learning; Ultrasound; Speckle Filtering; Medical Image Segmentation; U-Net; Wavelet Transfrom; Djupinlärning; Ultraljud; Specklefiltrering; Medicinsk bildsegmentering; U-Net; Wavelet transformation;

    Abstract : Segmentation of ultrasonic images is a common task in healthcare that requires time and attention from healthcare professionals. Automation of medical image segmentation using deep learning solutions is fast growing field and has been shown to be capable of near human performance. READ MORE

  6. 5. The World in 3D : Geospatial Segmentation and Reconstruction

    University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Author : David Robín Karlsson; [2022]
    Keywords : deep learning; ai; machine learning; geospatial; gis; heightmap; semantic segmentation; satellite imagery; aerial imagery;

    Abstract : Deep learning has proven a powerful tool for image analysis during the past two decades. With the rise of high resolution overhead imagery, an opportunity for automatic geospatial 3D-recreation has presented itself. This master thesis researches the possibil- ity of 3D-recreation through deep learning based image analysis of overhead imagery. READ MORE