Search for dissertations about: "color image analysis"
Showing result 1 - 5 of 41 swedish dissertations containing the words color image analysis.
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1. Topics in Content Based Image Retrieval : Fonts and Color Emotions
Abstract : Two novel contributions to Content Based Image Retrieval are presented and discussed. The first is a search engine for font recognition. The intended usage is the search in very large font databases. The input to the search engine is an image of a text line, and the output is the name of the font used when printing the text. READ MORE
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2. Spectral Image Processing with Applications in Biotechnology and Pathology
Abstract : Color theory was first formalized in the seventeenth century by Isaac Newton just a couple of decades after the first microscope was built. But it was not until the twentieth century that technological advances led to the integration of color theory, optical spectroscopy and light microscopy through spectral image processing. READ MORE
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3. Digital Image Analysis of Cells : Applications in 2D, 3D and Time
Abstract : Light microscopes are essential research tools in biology and medicine. Cell and tissue staining methods have improved immensely over the years and microscopes are now equipped with digital image acquisition capabilities. The image data produced require development of specialized analysis methods. READ MORE
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4. Automated Tissue Image Analysis Using Pattern Recognition
Abstract : Automated tissue image analysis aims to develop algorithms for a variety of histological applications. This has important implications in the diagnostic grading of cancer such as in breast and prostate tissue, as well as in the quantification of prognostic and predictive biomarkers that may help assess the risk of recurrence and the responsiveness of tumors to endocrine therapy. READ MORE
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5. Group-Theoretical Structure in Multispectral Color and Image Databases
Abstract : Many applications lead to signals with nonnegative function values. Understanding the structure of the spaces of nonnegative signals is therefore of interest in many different areas. Hence, constructing effective representation spaces with suitable metrics and natural transformations is an important research topic. READ MORE