Now showing items 1-20 of 32

    • 3D brain segmentation using dual-front active contours with optional user interaction 

      Li, Hua; Yezzi, Anthony; Cohen, Laurent D. (Georgia Institute of TechnologyHindawi Publishing Corporation, 2006-06)
      Important attributes of 3D brain cortex segmentation algorithms include robustness, accuracy, computational efficiency, and facilitation of user interaction, yet few algorithms incorporate all of these traits. Manual ...
    • Anti-geometric diffusion for adaptive thresholding and fast segmentation 

      Manay, Siddharth; Yezzi, Anthony (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2003-11)
      In this paper, we utilize an anisotropic diffusion model, which we call the anti-geometric heat flow, for adaptive thresholding of bimodal images and for segmentation of more general greyscale images. In a departure from ...
    • Coarse-to-Fine Segmentation and Tracking Using Sobolev Active Contours 

      Sundaramoorthi, Ganesh; Yezzi, Anthony; Mennucci, Andrea C. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2008-05)
      Recently proposed Sobolev active contours introduced a new paradigm for minimizing energies defined on curves by changing the traditional cost of perturbing a curve and thereby redefining gradients associated to these ...
    • Curve evolution implementation of the Mumford-Shah functional for image segmentation, denoising, interpolation, and magnification 

      Tsai, Andy; Yezzi, Anthony; Willsky, Alan S. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2001-08)
      In this work, we first address the problem of simultaneous image segmentation and smoothing by approaching the Mumford–Shah paradigm from a curve evolution perspective. In particular, we let a set of deformable contours ...
    • Curve Evolution Models for Real-Time Identification with Application to Plasma Etching 

      Berg, Jordan M.; Yezzi, Anthony; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1999-01)
      It is desirable, in constructing an algorithm for real-time control or identification of free surfaces, to avoid representations of the surface requiring mesh refinement at corners or special logic for topological transitions. ...
    • Deform PF-MT: Particle Filter With Mode Tracker for Tracking Nonaffine Contour Deformations 

      Vaswani, Namrata; Rathi, Yogesh; Yezzi, Anthony; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2010-04)
      We propose algorithms for tracking the boundary contour of a deforming object from an image sequence, when the nonaffine (local) deformation over consecutive frames is large and there is overlapping clutter, occlusions, ...
    • Dynamic shape and appearance modeling via moving and deforming layers 

      Jackson, Jeremy D.; Yezzi, Anthony; Soatto, Stefano (Georgia Institute of TechnologySpringer Verlag, 2008-08)
      This model is based on a collection of overlapping layers that can move and deform, each supporting an intensity function that can change over time. We discuss the generality and limitations of this model in relation to ...
    • An Eulerian PDE approach for computing tissue thickness 

      Yezzi, Anthony; Prince, Jerry L. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2003-10)
      We outline an Eulerian framework for computing the thickness of tissues between two simply connected boundaries that does not require landmark points or parameterizations of either boundary. Thickness is defined as the ...
    • Fast incorporation of optical flow into active polygons 

      Unal, Gozde; Krim, Hamid; Yezzi, Anthony (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2005-06)
      In this paper, we first reconsider, in a different light, the addition of a prediction step to active contour-based visual tracking using an optical flow and clarify the local computation of the latter along the boundaries ...
    • A Geometric Approach to Joint 2D Region-Based Segmentation and 3D Pose Estimation Using a 3D Shape Prior 

      Dambreville, Samuel; Sandhu, Romeil; Yezzi, Anthony; Tannenbaum, Allen R. (Georgia Institute of TechnologySociety for Industrial and Applied Mathematics, 2010-03-03)
      In this work, we present an approach to jointly segment a rigid object in a two-dimensional (2D) image and estimate its three-dimensional (3D) pose, using the knowledge of a 3D model. We naturally couple the two processes ...
    • A Geometric Snake Model for Segmentation of Medical Imagery 

      Yezzi, Anthony; Kichenassamy, Satyanad; Kumar, Arun; Olver, Peter; Tannenbaum, Allen R. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1997-04)
      We employ the new geometric active contour models, previously formulated, for edge detection and segmentation of magnetic resonance imaging (MRI), computed tomography (CT), and ultrasound medical imagery. Our method is ...
    • Global regularizing flows with topology preservation for active contours and polygons 

      Sundaramoorthi, Ganesh; Yezzi, Anthony (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-03)
      Active contour and active polygon models have been used widely for image segmentation. In some applications, the topology of the object(s) to be detected from an image is known a priori, despite a complex unknown geometry, ...
    • A hybrid Eulerian-Lagrangian approach for thickness, correspondence, and gridding of annular tissues 

      Rocha, Kelvin R.; Yezzi, Anthony; Prince, Jerry L. (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-03)
      We present a novel approach to efficiently compute thickness, correspondence, and gridding of tissues between two simply connected boundaries. The solution of Laplace’s equation within the tissue region provides a harmonic ...
    • Image Sharpening via Sobolev Gradient Flows 

      Calder, J.; Mansouri, A.; Yezzi, Anthony (Georgia Institute of TechnologySociety for Industrial and Applied Mathematics, 2010)
      Motivated by some recent work in active contour applications, we study the use of Sobolev gradients for PDE-based image diffusion and sharpening. We begin by studying, for the case of isotropic diffusion, the gradient ...
    • Integral Invariants for Shape Matching 

      Manay, Siddharth; Cremers, Daniel; Hong, Byung-Woo; Soatto, Stefano; Yezzi, Anthony (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2006-10)
      For shapes represented as closed planar contours, we introduce a class of functionals which are invariant with respect to the Euclidean group and which are obtained by performing integral operations. While such integral ...
    • Joint brain parameteric T1-map segmentation and RF inhomogeneity calibration 

      Chen, Ping-Feng; Steen, R. Grant; Yezzi, Anthony; Krim, Hamid (Georgia Institute of TechnologyHindawi Publishing Corporation, 2009)
      We propose a constrained version of Mumford and Shah’s (1989) segmentation model with an information-theoretic point of view in order to devise a systematic procedure to segment brain magnetic resonance imaging (MRI) data ...
    • Local or global minima: flexible dual-front active contours 

      Li, Hua; Yezzi, Anthony (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 2007-01)
      Most variational active contour models are designed to find local minima of data-dependent energy functionals with the hope that reasonable initial placement of the active contour will drive it toward a “desirable” local ...
    • Modified curvature motion for image smoothing and enhancement 

      Yezzi, Anthony (Georgia Institute of TechnologyInstitute of Electrical and Electronics Engineers, 1998-03)
      In this paper, we formulate a general modified mean curvature based equation for image smoothing and enhancement. The key idea is to consider the image as a graph in some Rn, and apply a mean curvature type motion to the ...
    • Multiview Stereo Reconstruction of Dense Shape and Complex Appearance 

      Jin, Hailin; Soatto, Stefano; Yezzi, Anthony (Georgia Institute of TechnologySpringer Verlag, 2005-07)
      We address the problem of estimating the three-dimensional shape and complex appearance of a scene from a calibrated set of views under fixed illumination. Our approach relies on a rank condition that must be satisfied ...
    • A New Geometric Metric in the Space of Curves, and Applications To Tracking Deforming Objects by Prediction and Filtering 

      Sundaramoorthi, Ganesh; Mennucci, Andrea C.; Soatto, Stefano; Yezzi, Anthony (Georgia Institute of TechnologySociety for Industrial and Applied Mathematics, 2011-02)
      We define a novel metric on the space of closed planar curves which decomposes into three intuitive components. According to this metric, centroid translations, scale changes, and deformations are orthogonal, and the metric ...