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    Image Matching Based on Manifold Learning Methods

    , M.Sc. Thesis Sharif University of Technology Azampour, Mohammad Farid (Author) ; Fatemizadeh, Emad (Supervisor)
    Abstract
    Medical imaging is of interest because of information that will provide for doctors and registration is inevitable when we need to compare two or more images, taken from a subject at different times or with different sensors or when comparing two or more subjects together. Registration methods can be categorized in two major groups; methods based on feature and methods based on intensity. Methods in first group have three steps in common: feature extraction, finding matches and transform estimation. In second group it’s important to define a similarity measure and find the transform that minimizes this measure.
    Manifold learning algorithms are mostly used as a dimensionality reduction...