Search for dissertations about: "Gunilla Borgefors"
Showing result 1 - 5 of 10 swedish dissertations containing the words Gunilla Borgefors.
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1. Precise Image-Based Measurements through Irregular Sampling
Abstract : 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. READ MORE
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2. Distance Functions and Their Use in Adaptive Mathematical Morphology
Abstract : 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. READ MORE
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3. Computerized Cell and Tissue Analysis
Abstract : 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. READ MORE
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4. Automatic Virus Identification using TEM : Image Segmentation and Texture Analysis
Abstract : 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. READ MORE
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5. Segmentation and Analysis of Volume Images, with Applications
Abstract : Digital image analysis is the field of extracting relevant information from digital images. Recent developments in imaging techniques have made 3-dimensional volume images more common. This has created a need to extend existing 2D image analysis tools to handle images of higher dimensions. Such extensions are usually not straightforward. READ MORE