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

Showing result 1 - 5 of 13 essays containing the words thesis for image segmentation using neural network.

  1. 1. Localising and Reconstructing Drill Holes in 3D Objects using Machine Learning

    University essay from Uppsala universitet/Institutionen för informationsteknologi

    Author : Viktor Ståhl; [2018]
    Keywords : ;

    Abstract : To move towards an increasingly automated future, machines are becoming smarter and can now solve tasks only humans could before. In this thesis project, the possibility to find, classify and reconstruct holes in three dimensional objects using machine learning is explored. READ MORE

  2. 2. Real-time segmentaion of feet on smartphone

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Axel Demborg; [2018]
    Keywords : ;

    Abstract : Image segmentation, the problem of dividing an image into meaningful parts and semantic segmentation, dividing images into multiple known classes are very interesting problems in computer vision. Segmentation is relevant for everything from self-driving cars to 3D-modeling and synthetic camera effects. READ MORE

  3. 3. Neural Networks for Semantic Segmentation in the Food Packaging Industry

    University essay from Linköpings universitet/Datorseende

    Author : Mattias Carlsson; [2018]
    Keywords : Deep learning; neural networks; semantic segmentation;

    Abstract : Industrial applications of computer vision often utilize traditional image processing techniques whereas state-of-the-art methods in most image processing challenges are almost exclusively based on convolutional neural networks (CNNs). Thus there is a large potential for improving the performance of many machine vision applications by incorporating CNNs. READ MORE

  4. 4. Segmentation and Depth Estimation of Urban Road Using Monocular Camera and Convolutional Neural Networks

    University essay from KTH/Robotik, perception och lärande, RPL

    Author : Addi Djikic; [2018]
    Keywords : AI; ANN; CNN; semantic; segmentation; autonomous; Scania; driving; road; pixel; classification; regression; real time; monocular; depth; estimation; convolutional; neural; networks; deep; learning; perception; camera; vehicles; supervised; tensorflow; Cityscapes; machine learning; autoencoder; decoder; encoder;

    Abstract : Deep learning for safe autonomous transport is rapidly emerging. Fast and robust perception for autonomous vehicles will be crucial for future navigation in urban areas with high traffic and human interplay. Previous work focuses on extracting full image depth maps, or finding specific road features such as lanes. READ MORE

  5. 5. Insect Event Extraction in LIDAR Images using Image Analysis and Convolutional Neural Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Ludvig Malmros; [2018]
    Keywords : Image analysis; Machine Learning; Mathematics and Statistics;

    Abstract : Insect monitoring has earlier been a manual, tedious and time consuming task that is impossible to do in real time. Thus there exists a need for a real time automatic insect monitoring system for counting and classifying insect for use in scientific research and pesticide spraying control. READ MORE