Sökning: "color image segmentation"

Visar resultat 1 - 5 av 15 uppsatser innehållade orden color image segmentation.

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

    Master-uppsats, KTH/Fysik

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

    Sammanfattning : 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. LÄS MER

  3. 2. An automated unmanned aerial vehicle – structure from motion pipeline to create analysis-ready digital surface models for coastal monitoring

    Master-uppsats, Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

    Författare :Maximilian Rafael Huber; [2021]
    Nyckelord :physical geography; ecosystem analysis; geomatics; GIS; UAV; structure-from-motion; machine learning; coastal monitoring; Earth and Environmental Sciences;

    Sammanfattning : Anthropogenic pressure on coastal areas continues to increase, thus intensifying coastal erosion. Coastal monitoring programs are therefore essential to prevent severe ecosystem and economic consequences. Successful coastal monitoring schemes require highly accurate analysis-ready Digital surface models (DSMs) derived using the same workflow. LÄS MER

  4. 3. Number Recognition of Real-world Images in the Forest Industry : a study of segmentation and recognition of numbers on images of logs with color-stamped numbers

    Uppsats för yrkesexamina på avancerad nivå, Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Författare :Johan Munter; [2020]
    Nyckelord :Number recognition; preprocessing; machine learning; forest industry;

    Sammanfattning : Analytics such as machine learning are of big interest in many types of industries. Optical character recognition is essentially a solved problem, whereas number recognition on real-world images which can be one form of machine learning are a more challenging obstacle. LÄS MER

  5. 4. Classification of skin pixels in images : Using feature recognition and threshold segmentation

    Kandidat-uppsats, Umeå universitet/Institutionen för datavetenskap

    Författare :Emil Samuelsson; [2018]
    Nyckelord :;

    Sammanfattning : The purpose of this report is to investigate and answer the research question: How can current skin segmentation thresholding methods be improved in terms of precision, accuracy, and efficiency by using feature recognition, pre- and post-processing? In this work, a novel algorithm is presented for classification of skin pixels in images. Different pre-processing methods were evaluated to improve the overall performance of the algorithm. LÄS MER

  7. 5. Hand Segmentation from RGB Images in Uncontrolled Indoor Scenarios Using Randomized Decision Forests

    Master-uppsats, KTH/Teknisk informationsvetenskap

    Författare :Manu Martin; [2017]
    Nyckelord :;

    Sammanfattning : Hand segmentation is an integral part of many computer vision applications suchas gesture recognition, human activity detection, hand-eye coordination anal-ysis, gaze detection etc. Many of these applications require a solution whichcan segment hands in real-time while working in low-capacity computing en-vironments. LÄS MER