On Computing Global Similarity in Images,

Abstract

The retrieval of images based on their visual similarity to an example image is an important and fascinating area of research. Here, a method to characterize visual appearance for determining global similarity in images is described. Images are filtered with Gaussian derivatives and geometric features are computed from the filtered images. The geometric features used here are curvature and phase. Two images may be said to be similar if they have similar distributions of such features. Global similarity may, therefore, be deduced by comparing histograms of these features. This allows for rapid retrieval and examples from collection of gray-level and trademark images are shown.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA349477

Entities

People

  • R. Manmatha
  • Sai Ravela

Organizations

  • University of Massachusetts Amherst

Tags

Communities of Interest

  • Air Platforms

DTIC Thesaurus Topics

  • Algorithms
  • Computer Science
  • Computer Vision
  • Curvature
  • Databases
  • Filters
  • Geometry
  • Histograms
  • Information Retrieval
  • Intensity
  • Object Recognition
  • Precision
  • Recognition
  • Shape
  • Three Dimensional
  • Trademarks
  • United States

Fields of Study

  • Computer science

Readers

  • Human-Computer Interaction (HCI).
  • Statistical inference.
  • Theoretical Analysis.