Essays about: "foreground detection"
Showing result 1 - 5 of 20 essays containing the words foreground detection.
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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
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
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2. Black Holes of the First Stars
University essay from Uppsala universitet/Institutionen för fysik och astronomiAbstract : 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. READ MORE
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3. Examining Difficulties in Weed Detection
University essay from Linköpings universitet/DatorseendeAbstract : 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. READ MORE
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4. AI-Driven Image Manipulation : Image Outpainting Applied on Fashion Images
University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknikAbstract : 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. READ MORE
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5. Convolutional neural network based object detection in a fish ladder : Positional and class imbalance problems using YOLOv3
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE