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    Determining the Structure of an Indoor Environment with Vanishing Points Based on Fuzzy Logic

    , M.Sc. Thesis Sharif University of Technology Hajiebrahimi, Alireza (Author) ; Bagheri Shouraki, Saeed (Supervisor)
    Abstract
    One of the applications of machine vision is to identify the indoor scenes. Identification of indoor scenes is the capability of detecting walls, floor and ceiling of an interior. Also, to distinguish the distinctions between these components by using some planes. There are several methods so that by employing machine vision it will be possible to identify indoor scenes and one of the most notable methods is fuzzy image processing. In fact, many applications of image processing require the knowledge of an expert. The theory of fuzzy set and fuzzy logic is a powerful tool to expressing and processing the human knowledge by “if … then …” rules.The purpose of this project is to present an... 

    A multiscale phase field method for joint segmentation-rigid registration application to motion estimation of human knee joint

    , Article Biomedical Engineering - Applications, Basis and Communications ; Volume 23, Issue 6 , 2011 , Pages 445-456 ; 10162372 (ISSN) Eslami, A ; Esfandiarpour, F ; Shakourirad, A ; Farahmand, F ; Sharif University of Technology
    2011
    Abstract
    Image based registration of rigid objects has been frequently addressed in the literature to obtain an object's motion parameters. In this paper, a new approach of joint segmentation-rigid registration, within the variational framework of the phase field approximation of the Mumford-Shah's functional, is proposed. The defined functional consists of two Mumford-Shah equations, extracting the discontinuity set of the reference and target images due to a rigid spatial transformation. Multiscale minimization of the proposed functional after finite element discretization provided a sub-pixel, robust algorithm for edge extraction as well as edge based rigid registration. The implementation...