Sökning: "foreground detection"

Visar resultat 1 - 5 av 20 uppsatser innehållade orden foreground detection.

1. 1. Automatic Detection of Structural Deformations in Batteries from Imaging data using Machine Learning : Exploring the potential of different approaches for efficient structural deformation detection

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

   Författare :Maira Khan; [2023]
   Nyckelord :CT scan; electrode peaks; jelly roll; keypoints; structural deformation; traditional computer vision; deep neural network; CT-skanning; elektrodtoppar; gelérulle; nyckelpunkter; strukturell deformation; Traditionellt datorseende; djupt neuralt nätverk;

   Sammanfattning : The increasing occurrence of structural deformations in the electrodes of the jelly roll has raised quality concerns during battery manufacturing, emphasizing the need to detect them automatically with the advanced techniques. This thesis aims to explore and provide two models based on traditional computer vision (CV) and deep neural network (DNN) techniques using computed tomography (CT) scan images of jelly rolls to ensure that the product is of high quality. LÄS MER

3. 2. Black Holes of the First Stars

   Master-uppsats, Uppsala universitet/Institutionen för fysik och astronomi

   Författare :Aron Kordt; [2022]
   Nyckelord :;

   Sammanfattning : In this report, we constrain properties of foreground objects in the Milky Way that have the potential of being confused with accretion disks of Population III stellar- mass black holes at high redshift. Following Windhorst et al. (2018), a model for multicolour accretion disks of Population III stellar-mass black holes is presented. LÄS MER

4. 3. Examining Difficulties in Weed Detection

   Master-uppsats, Linköpings universitet/Datorseende

   Författare :Axel Ahlqvist; [2022]
   Nyckelord :;

   Sammanfattning : Automatic detection of weeds could be used for more efficient weed control in agriculture. In this master thesis, weed detectors have been trained and examined on data collected by RISE to investigate whether an accurate weed detector could be trained on the collected data. LÄS MER

5. 4. AI-Driven Image Manipulation : Image Outpainting Applied on Fashion Images

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Alexander Mennborg; [2021]
   Nyckelord :image outpainting; fashion images; product images; image cropping; image resizing; convolutional neural networks; generative adversarial networks;

   Sammanfattning : The e-commerce industry frequently has to deal with displaying product images in a website where the images are provided by the selling partners. The images in question can have drastically different aspect ratios and resolutions which makes it harder to present them while maintaining a coherent user experience. LÄS MER

7. 5. Convolutional neural network based object detection in a fish ladder : Positional and class imbalance problems using YOLOv3

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

   Författare :Patrik Ekman; [2021]
   Nyckelord :Object detection; Computer vision; Fish ladder; Imbalance problems; Imbalanced data; YOLO; Convolutional Neural Network; Deep learning; Objektdetektering; Datorseende; Fisktrappa; Obalanser; Obalanserad data; YOLO; Convolutional Neural Network; Djupinl¨arning;

   Sammanfattning : Hydropower plants create blockages in fish migration routes. Fish ladders can serve as alternative routes but are complex to install and follow up to help adapt and develop them further. In this study, computer vision tools are considered in this regard. LÄS MER