A Metric for Evaluating and Comparing Hierarchical and Multi-Scale Image Segmentations

Abstract

We present a method for evaluating the quality of a multi-scale or hierarchical image segmentation against a reference single-scale segmentation, for comparing different segmentation algorithms or fine-tuning an algorithm's parameters to a specific application.

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Document Details

Document Type
Technical Report
Publication Date
Jul 25, 2005
Accession Number
ADA450000

Entities

People

  • Roger Trias-sanz

Organizations

  • Institut national de l'information géographique et forestière

Tags

DTIC Thesaurus Topics

  • Abstracts
  • Algorithms
  • Boundaries
  • Computer Vision
  • Detection
  • Earth Sciences
  • Errors
  • Histograms
  • Image Segmentation
  • Information Operations
  • Perturbations
  • Remote Sensing
  • Test And Evaluation
  • Two Dimensional

Fields of Study

  • Computer science

Readers

  • Computer Vision.