Indexing Flowers by Color Names using Domain Knowledge-driven Segmentation,

Abstract

We describe a solution to the problem of indexing images of flowers for searching a flower patents database by color. We use a natural language color classification derived from the ISCC-NBS color system and the X Window color names to effectively use the domain knowledge available, provide perceptually correct retrieval and allow natural language queries. We have developed an automatic iterative segmentation algorithm with knowledge-driven feedback to isolate a flower region from the background. The color of the flower is defined by the color names present in the flower region and their relative proportions. The database can be queried by example and by color names. We demonstrate the effectiveness of the strategy on a test database.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1998
Accession Number
ADA349472

Entities

People

  • Edward M. Riseman
  • Madirakshi Das
  • R. Manmatha

Organizations

  • University of Massachusetts Amherst

Tags

DTIC Thesaurus Topics

  • Algorithms
  • Boundaries
  • Computer Science
  • Computer Vision
  • Databases
  • Detection
  • Electronic Mail
  • Image Segmentation
  • Images
  • Language
  • Natural Languages
  • Patent Applications
  • Patents
  • Recognition
  • Target Recognition
  • Three Dimensional
  • United States

Fields of Study

  • Computer science

Readers

  • Computational Linguistics
  • Computer Vision.