Topologically adaptable snakes

  title={Topologically adaptable snakes},
  author={T. McInerney and Demetri Terzopoulos},
  journal={Proceedings of IEEE International Conference on Computer Vision},
The paper presents a typologically adaptable snakes model for image segmentation and object representation. The model is embedded in the framework of domain subdivision using simplicial decomposition. This framework extends the geometric and topological adaptability of snakes while retaining all of the features of traditional snakes, such as user interaction, and overcoming many of the limitations of traditional snakes. By superposing a simplicial grid over the image domain and using this grid… Expand
Medical Image Segmentation Using Topologically Adaptable Snakes
A 2D model is applied to segment structures from medical images with complex shapes and topologies, such as arterial “trees”, that cannot easily be segmented with traditional deformable models. Expand
Loop snakes: the generalized model
The original model of the loop snakes model is generalized by allowing the contraction as well as the expansion of several T-snakes. Expand
Dual Topologically Adaptable Snakes
The original Snake model suffers from the strong sensitivit y to the initial contour position and can not deal with topological changes. The T-Snake is an approac h to relieve the problem ofExpand
Loop snakes: snakes with enhanced topology control
This work introduces a novel approach for controlling the topology of a T-snake by focusing on the loops formed by the so-called projected curve which is obtained at every stage of the snake evolution. Expand
Network snakes: graph-based object delineation with active contour models
A graph-based method of active contour models called network snakes is presented and investigated, enabling a free optimization of arbitrary graphs representing the geometric position of networks and boundaries between adjacent objects. Expand
Medical image segmentation using topologically adaptable surfaces
ACD-based deformable surfaces are described and their potential for extracting and reconstructing some of the most complex biological structures from medical image volumes is demonstrated. Expand
Intelligent balloon: a subdivision-based deformable model for surface reconstruction of arbitrary topology
The Intelligent Balloon is a parameterized subdivision surface whose geometry and its deformable behaviors are governed by the principle of energy minimization, which proves to be very powerful and extremely useful for boundary representation of complicated solids of arbitrary topology, shape recovery and segmentation for medical imaging, and iso-surface extraction for visualization. Expand
T-snakes: Topology adaptive snakes
The 'snakes in ACID' framework significantly extends conventional snakes, enabling topological flexibility among other features and can be used to segment some of the most complex-shaped biological structures from medical images in an efficient and highly automated manner. Expand
Snake Pedals: Compact and Versatile Geometric Models with Physics-Based Control
  • B. Vemuri, Y. Guo
  • Computer Science, Mathematics
  • IEEE Trans. Pattern Anal. Mach. Intell.
  • 2000
A physics-based control for shaping these geometric models by letting the pedal point vary and use a snake to represent the position of this varying point, which leads to an efficient numerical solution to the model fitting problem. Expand
A boundary extraction approach based on multi-resolution methods and the T-Snakes framework
A new approach which integrates the T-Snakes model and a multi-resolution method in a unified framework for segmentation and boundary extraction for 2D medical imaging and how it can be extended to 3D in future work is presented. Expand


On active contour models and balloons
  • L. Cohen
  • Mathematics, Computer Science
  • CVGIP Image Underst.
  • 1991
A model of deformation which solves some of the problems encountered with the original method of energy-minimizing curves and makes the curve behave like a balloon which is inflated by an additional force. Expand
Shape Modeling with Front Propagation: A Level Set Approach
The authors' techniques can be applied to model arbitrarily complex shapes, which include shapes with significant protrusions, and to situations where no a priori assumption about the object's topology is made. Expand
Shock-Based Reaction-Diffusion Bubbles for Image Segmentation
The bubble technique does not require manual initialization, integrates a variety of visual information, and deals with gaps of information to capture objects in an image, as illustrated on several MRI and ultrasound images in 2D and 3D. Expand
Constraints on Deformable Models: Recovering 3D Shape and Nonrigid Motion
This work describes an extrinsic force that applies constraints derived from profiles of monocularly viewed objects and generalizes this constraint force to incorporate profile information from multiple views and use it to exploit binocular image data. Expand
Simulating the Grassfire Transform Using an Active Contour Model
A method for shape description of planar objects that integrates both region and boundary features is presented. The method is an implementation of a 2D dynamic grassfire that relies on a distanceExpand
Computer-assisted registration, segmentation, and 3D reconstruction from images of neuronal tissue sections
An interactive system exploits recent computer graphics and computer vision techniques to significantly reduce the time required to build 3D nerve cell models from serial microscopy. Expand
Marching cubes: A high resolution 3D surface construction algorithm
We present a new algorithm, called marching cubes, that creates triangle models of constant density surfaces from 3D medical data. Using a divide-and-conquer approach to generate inter-sliceExpand
A geometric model for active contours in image processing
SummaryWe propose a new model for active contours based on a geometric partial differential equation. Our model is intrinsec, stable (satisfies the maximum principle) and permits a rigorousExpand
Changes in connectivity in active contour models
  • R. Samadani
  • Computer Science
  • [1989] Proceedings. Workshop on Visual Motion
  • 1989
An algorithm for tracking objects that divide in two is developed using a computer-generated image sequence simulating cell division based on a previously proposed solution for nonrigid motion that involves the use of simulated elastic curves to track objects. Expand
Marching cubes: A high resolution 3D surface construction algorithm
We present a new algorithm, called marching cubes, that creates triangle models of constant density surfaces from 3D medical data. Using a divide-and-conquer approach to generate inter-slice connec...