Wavelet-Based Segmentation on the Sphere

  title={Wavelet-Based Segmentation on the Sphere},
  author={Xiaohao Cai and Christopher G. R. Wallis and Jennifer Y. H. Chan and Jason D. McEwen},
1 Citations



Vessel Segmentation in Medical Imaging Using a Tight-Frame-Based Algorithm

This paper proposes applying the tight-frame approach to automatically identify tube-like structures in medical imaging, with the primary application of segmenting blood vessels in magnetic resonance angiography images.

Framelet-Based Algorithm for Segmentation of Tubular Structures

This paper applies the framelet-based approach to identify tube-like structures such as blood vessels in medical images by iteratively refines a region that encloses the possible boundary or surface of the vessels.

Active contours without edges

  • T. ChanL. Vese
  • Computer Science, Mathematics
    IEEE Trans. Image Process.
  • 2001
We propose a new model for active contours to detect objects in a given image, based on techniques of curve evolution, Mumford-Shah (1989) functional for segmentation and level sets. Our model can

Variational image segmentation model coupled with image restoration achievements

Mumford and Shah Model and Its Applications to Image Segmentation and Image Restoration

We present in this chapter an overview of the Mumford and Shah model for image segmentation. We discuss its various formulations, some of its properties, the mathematical framework, and several

A Two-Stage Image Segmentation Method for Blurry Images with Poisson or Multiplicative Gamma Noise

A primal-dual algorithm is adopted to efficiently solve the minimization problem and the convergence of the algorithm and the uniqueness of the solution $u$ are proved.

Texture classification and segmentation using wavelet frames

  • M. Unser
  • Mathematics
    IEEE Trans. Image Process.
  • 1995
This paper describes a new approach to the characterization of texture properties at multiple scales using the wavelet transform. The analysis uses an overcomplete wavelet decomposition, which yields

Active Contours without Edges for Vector-Valued Images

An active contour algorithm for object detection in vector-valued images (such as RGB or multispectral) that is robust with respect to noise, requiring no a priori denoising step.

S2LET: A code to perform fast wavelet analysis on the sphere

S2LET, a fast and robust implementation of the scale-discretised wavelet transform on the sphere, is described, restricted to axisymmetric wavelets but will be extended to directional, steerable wavelets in a future release.