Sökning: "segmentation"

Visar resultat 11 - 15 av 363 avhandlingar innehållade ordet segmentation.

  1. 11. Fast Methods for Vascular Segmentation Based on Approximate Skeleton Detection

    Författare :Kristína Lidayová; Hans Frimmel; Ewert Bengtsson; Örjan Smedby; Alejandro F. Frangi; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; medical image analysis; automatic skeleton extraction; vascular segmentation; coverage segmentation; convolutional neural network classifier; CT angiography; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Modern medical imaging techniques have revolutionized health care over the last decades, providing clinicians with high-resolution 3D images of the inside of the patient's body without the need for invasive procedures. Detailed images of the vascular anatomy can be captured by angiography, providing a valuable source of information when deciding whether a vascular intervention is needed, for planning treatment, and for analyzing the success of therapy. LÄS MER

  2. 12. Learning Representations for Segmentation and Registration

    Författare :Felix Järemo Lawin; Per-Erik Forssén; Michael Felsberg; Radu Patrice Horaud; Linköpings universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Computer Vision; point set registration; video object segmentation; time-of-flight; point set segmentation; deep learning; expectation maximization;

    Sammanfattning : In computer vision, the aim is to model and extract high-level information from visual sensor measurements such as images, videos and 3D points. Since visual data is often high-dimensional, noisy and irregular, achieving robust data modeling is challenging. LÄS MER

  3. 13. Segmentation of 2D electrophoresis gel images for protein expression analysis

    Författare :Martin Persson; Högskolan i Halmstad; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Two-dimensional gel electrophoresis; Image analysis; Image segmentation; Proteomics; Structure tensors; Spot detection; Spot segmentation; TECHNOLOGY; TEKNIKVETENSKAP;

    Sammanfattning : .... LÄS MER

  4. 14. Segmentation and differentiation in defence supply chain design : A dynamic purchasing portfolio model for defence procurement

    Författare :Thomas Ekström; Per Hilletofth; Alastair Finlan; Per Skoglund; Lisa Ellram; Jönköping University; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; SAMHÄLLSVETENSKAP; SOCIAL SCIENCES; purchasing portfolio model; segmentation and differentiation; segmentation model; supply chain strategy; military logistics; defence procurement; defence supply chain design; modified Delphi study; portföljmodell; segmentering och differentiering; segmenterings-modell; försörjningsstrategi; militär logistik; försvarsanskaffning; utformning av militära försörjningskedjor; modifierad Delphistudie; Krigsvetenskap; War Studies;

    Sammanfattning : An important priority in the current Swedish Defence Bill is to increase the operational warfighting capability of the Swedish Armed Forces, which has implications for the defence supply chain. A recent study suggested that the Swedish Armed Forces should use segmentation of supplies and differentiation of supply chains to enable an affordable supply chain design (SCD). LÄS MER

  5. 15. Segmentation of Laser Range Radar Images using Hidden Markov Field Models

    Författare :Predrag Pucar; Linköpings universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Segmentation; Images; Model based stochastic techniques; Image processing; Demanding algorithms; Hidden Markov model; Estimation; Automatic control; Reglerteknik;

    Sammanfattning : Segmentation of images in the context of model based stochastic techniques is connected with high, very often unpracticle computational complexity. The objective with this thesis is to take the models used in model based image processing, simplify and use them in suboptimal, but not computationally demanding algorithms. LÄS MER