PDE Software for Digital Image Management

Abstract

In Phase I research, we investigated and developed image segmentation and registration algorithms using curvature-based flow-driven nonlinear partial differential equation imaging models and algorithms, including total variation, level-set, and active contour techniques. We implemented the developed algorithms in C and S+, an open and extensible software environment, to allow us to do rapid prototyping and evaluation of the methods. We applied combinations of the methods developed to two applications in medical imaging, prostate segmentation and brain segmentation and registration.

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Document Details

Document Type
Technical Report
Publication Date
Apr 10, 2001
Accession Number
ADA388379

Entities

People

  • Jill Goldschneider
  • Lydia Ng
  • Vikram Chalana

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Algorithms
  • Blood Cells
  • Change Detection
  • Computational Science
  • Computer Vision
  • Contracts
  • Curvature
  • Data Sets
  • Detection
  • Diagnostic Imaging
  • Digital Images
  • Equations
  • Image Processing
  • Image Registration
  • Image Segmentation
  • Prostate
  • Three Dimensional

Fields of Study

  • Physics

Readers

  • Computer Vision.
  • Finite Element Method (FEM) for solving Partial Differential Equations (PDEs)
  • Software Engineering.