Essays about: "noise removal"

Showing result 1 - 5 of 32 essays containing the words noise removal.

  1. 1. Dynamic Object Removal for Point Cloud Map Creation in Autonomous Driving : Enhancing Map Accuracy via Two-Stage Offline Model

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

    Author : Weikai Zhou; [2023]
    Keywords : Autonomous driving; Dynamic object removal; Map creation; 3D point cloud; Autonom körning; Dynamiska objekt borttagning; Skapande av kartor; 3D-punktmoln;

    Abstract : Autonomous driving is an emerging area that has been receiving an increasing amount of interest from different companies and researchers. 3D point cloud map is a significant foundation of autonomous driving as it provides essential information for localization and environment perception. READ MORE

  3. 2. A cross-correlation analysis of a warm super-Neptune using transit spectroscopy

    University essay from Uppsala universitet/Institutionen för fysik och astronomi

    Author : Elias Önerud; [2023]
    Keywords : Cross-correlation; cross-correlation spectroscopy; cross-correlation analysis; super-Neptune; astronomy; astrophysics; WASP-107; WASP-107 b; CRIRES ; SysRem; exoplanet; transmission spectrum; transit;

    Abstract : A study was made in order to deduce whether certain chemical species, namely water (H2O) and carbon monoxide (CO), are present in the atmosphere of the exoplanet WASP-107 b, which lies about 200 light-years away from Earth in the constellation Virgo. The project was carried out at Uppsala University at the Department of Physics and Astronomy. READ MORE

  4. 3. Deep Neural Networks for Noise Reduction and Bias Removal in MR Diffusion Signal

    University essay from

    Author : Beqir Berisha; [2022-03-22]
    Keywords : Medical physics; Deep Neural network; Prostate cancer; noise; Diffusion-weighted imaging; Rician bias correction;

    Abstract : The purpose of this study is to assess the potential of deep neural networks, trained by unsupervised learning, for diffusion weighted imaging (DWI) data modeling and denoising. DWI data were modeled by a biexponential model and Rician bias was corrected for. 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. Phase-Contrast Imaging, Towards G2-less Grating Interferometry With Deep Silicon

    University essay from KTH/Fysik

    Author : Rickard Brunskog; [2022]
    Keywords : Phase-contrast imaging; phase-contrast; CT-scanning; Computed-tomography; 1 micrometer resolution x-ray; grating-less phase-contrast imaging; Faskontraströntgen; faskontrast; CT-skanning; 1 mikrometer upplösning x-ray; gitterlös faskontrast; datortomografi;

    Abstract : Conventional phase-contrast imaging entails stepping an analyser grating across the detector to resolve the interference pattern caused by the x-rays after passing through a series of gratings in a so-called Talbot-Lau interferometer. However, the analyser grating in the interferometer poses a challenge, not only due to the machinery and alignment required but also due to each exposure delivering a dose to the subject. READ MORE