Essays about: "color image segmentation"

Showing result 1 - 5 of 15 essays containing the words color image segmentation.

  1. 1. 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

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

    University essay from Lunds universitet/Institutionen för naturgeografi och ekosystemvetenskap

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

    Abstract : 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. READ MORE

  3. 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

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : Johan Munter; [2020]
    Keywords : Number recognition; preprocessing; machine learning; forest industry;

    Abstract : 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. READ MORE

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

    University essay from Umeå universitet/Institutionen för datavetenskap

    Author : Emil Samuelsson; [2018]
    Keywords : ;

    Abstract : 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. READ MORE

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

    University essay from KTH/Teknisk informationsvetenskap

    Author : Manu Martin; [2017]
    Keywords : ;

    Abstract : 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. READ MORE