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Showing result 26 - 30 of 228 essays matching the above criteria.

  1. 26. Instance Segmentation for Printed Circuit Board (PCB) Component Analysis : Exploring CNNs and Transformers for Component Detection on Printed Circuit Boards

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

    Author : Oliver Möller; [2023]
    Keywords : Deep Learning; Computer Vision; Image Processing; Object Detection; Instance Segmentation; Printed Circuit Board PCB ; Djupinlärning; Datorseende; Bildbehandling; Objektdetektering; Instanssegmentering; Tryckt kretskort;

    Abstract : In the intricate domain of Printed Circuit Boards (PCBs), object detection poses unique challenges, particularly given the broad size spectrum of components, ranging from a mere 2 pixels to several thousand pixels within a single high-resolution image, often averaging 4000x3000 pixels. Such resolutions are atypical in the realm of deep learning for computer vision, making the task even more demanding. READ MORE

  3. 27. Computer-Aided Characterization of Lung - Segmentation and Vessel Tree Analysis Algorithms for Clinical Research Applications

    University essay from KTH/Fysik

    Author : Daniel Karoumi; [2023]
    Keywords : Lung; lung segmentation; NSIP; IPF; lung vessels; lung morphometry; 3D Slicer; Lunga; lungsegmentering; NSIP; IPF; lungkärl; lung morfometri; 3D Slicer;

    Abstract : The initial stage of a lung examination involves the segmentation of a CT image, a process that has been put under a lot of pressure with the high demand for chest scans and accurate segmentations. Current automatic segmentation algorithms are either non-robust for different datasets, not easily accessible, or time-consuming. READ MORE

  4. 28. Analyzing different approaches to Visual SLAM in dynamic environments : A comparative study with focus on strengths and weaknesses

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

    Author : Kristín Sól Ólafsdóttir; [2023]
    Keywords : Visual SLAM; RGB-D Vision; Dynamic Objects; Object Detection; Multi-Object Tracking; Image Segmentation; Optical Flow; Visual SLAM; RGB-D Syn; Dynamiska objekt; Objektdetektering; Multi-Objekt Spårning; Bildsegmentation; Optiskt Flöde;

    Abstract : Simultaneous Localization and Mapping (SLAM) is the crucial ability for many autonomous systems to operate in unknown environments. In recent years SLAM development has focused on achieving robustness regarding the challenges the field still faces e.g. dynamic environments. READ MORE

  5. 29. Camera ISP optimization for computer vision tasks performed by deep neural networks

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

    Author : Zhenghong Xiao; [2023]
    Keywords : Computer Vision; Image Signal Processing; DNN; Datorseende; bildsignalbehandling; DNN;

    Abstract : This thesis aims to improve the performance of Deep Neural Networkss (DNNs) in Computer Vision tasks by optimizing the Image Signal Processor (ISP) parameters. The research investigates the use of simulated RAW images and the application of the DRL-ISP (Deep Reinforcement Learning for Image Signal Processor) method to enhance the accuracy and robustness of DNNs. READ MORE

  6. 30. Toward Equine Gait Analysis : Semantic Segmentation and 3D Reconstruction

    University essay from Linköpings universitet/Datorseende

    Author : Evelina Hult; [2023]
    Keywords : Deep Learning; Computer Vision; Semantic Segmentation; Structure-from-Motion; Equine Gait Analysis; Harness Racing Horses; Engineering and Technology; Natural Sciences; Computer Vision Laboratory;

    Abstract : Harness racing horses are exposed to high workload and consequently, they are at risk of joint injuries and lameness. In recent years, the interest in applications to improve animal welfare has increased and there is a demand for objective assessment methods that can enable early and robust diagnosis of injuries. READ MORE