Sökning: "Gunilla Borgefors"

Visar resultat 1 - 5 av 11 avhandlingar innehållade orden Gunilla Borgefors.

  1. 1. Géométrie digitale utilisée pour la discretisation et le recouvrement optimal des objets euclidiens

    Författare :Adama Arouna Koné; Christer O. Kiselman; Ouaténi Diallo; Diby Diarra; Gunilla Borgefors; Fana Tangara; Sado Traoré; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Digital geometry; Euclidean lines; planes; Géométrie digitale; droites euclidiens; plans; Mathematics with specialization in Applied Mathematics; Matematik med inriktning mot tillämpad matematik;

    Sammanfattning : A Euclidean line in the plane is discretized and the discretized line is dilated by a rectangle.  The thesis studies the dilations that cover the original line and determine the optimal ones.  Similarly, dilations of discretized Euclidean hyperplanes are studied, and the optimal coverings are described.. LÄS MER

  2. 2. Precise Image-Based Measurements through Irregular Sampling

    Författare :Teo Asplund; Robin Strand; Cris L. Luengo Hendriks; Matthew J. Thurley; Gunilla Borgefors; Hugues Talbot; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; image analysis; image processing; mathematical morphology; irregular sampling; adaptive morphology; missing samples; continuous morphology; path opening.; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Mathematical morphology is a theory that is applicable broadly in signal processing, but in this thesis we focus mainly on image data. Fundamental concepts of morphology include the structuring element and the four operators: dilation, erosion, closing, and opening. LÄS MER

  3. 3. Distance Functions and Their Use in Adaptive Mathematical Morphology

    Författare :Vladimir Ćurić; Gunilla Borgefors; Cris L. Luengo Hendriks; Hugues Talbot; Uppsala universitet; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Image analysis; Distance functions; Mathematical morphology; Adaptive mathematical morphology; Image regularization; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : One of the main problems in image analysis is a comparison of different shapes in images. It is often desirable to determine the extent to which one shape differs from another. This is usually a difficult task because shapes vary in size, length, contrast, texture, orientation, etc. Shapes can be described using sets of points, crisp of fuzzy. LÄS MER

  4. 4. Computerized Cell and Tissue Analysis

    Författare :Azadeh Fakhrzadeh; Gunilla Borgefors; Cris Luengo Hendriks; Lena Holm; Nasir Rajpoot; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Image processing; Cell; Tissue; Segmentation; Classification; Histology; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : The latest advances in digital cameras combined with powerful computer software enable us to store high-quality microscopy images of specimen. Studying hundreds of images manually is very time consuming and has the problem of human subjectivity and inconsistency. LÄS MER

  5. 5. Automatic Virus Identification using TEM : Image Segmentation and Texture Analysis

    Författare :Gustaf Kylberg; Ida-Maria Sintorn; Gunilla Borgefors; Walter Kropatsch; Uppsala universitet; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; image analysis; image processing; virus identification; transmission electron microscopy; texture analysis; texture descriptors; Computerized Image Processing; Datoriserad bildbehandling;

    Sammanfattning : Viruses and their morphology have been detected and studied with electron microscopy (EM) since the end of the 1930s. The technique has been vital for the discovery of new viruses and in establishing the virus taxonomy. Today, electron microscopy is an important technique in clinical diagnostics. LÄS MER