Note on Statistical Texture Discrimination

Abstract

For a given textured image, experimental results on texture feature extraction, dimensionality reduction, and iterative Bayes classification are reported. The classification performance is superior to other texture discrimination methods that have been examined on the same data. While the method presented is recommended as an effective statistical texture discrimination approach, the large amount of computation required, especially in feature extraction, can be undesirable in some applications. Detailed computer program listing is given in the appendix.

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Document Details

Document Type
Technical Report
Publication Date
Apr 24, 1981
Accession Number
ADA098285

Entities

People

  • Chia‐Hung Chen
  • Rong-hwang Wu

Organizations

  • University of Massachusetts Dartmouth

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Classification
  • Computations
  • Computer Programs
  • Computers
  • Dimensionality Reduction
  • Electrical Engineering
  • Engineering
  • Extraction
  • Feature Extraction
  • Iterations
  • Mathematical Analysis
  • Mathematics
  • Military Research
  • Probability
  • Statistics

Fields of Study

  • Computer science

Readers

  • Business Analytics
  • Computer Vision.

Technology Areas

  • AI & ML