Image Segmentation with Color and Texture,

Abstract

We examined how objects or regions in an image formed by the reflection of radiation from a scene can be segmented using differences in their color and texture. The color features (normalized red content and normalized blue content) permit good spatial resolution of the segmented regions, whereas the textural features (isotropic and linear textures) help to distinguish similarly colored objects. The color and texture features were chosen because of their low dependence on viewing conditions, such as surface orientation and illumination. As an example, we segment an olive-drab colored military truck from its background of vegetation.

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Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1981
Accession Number
ADA107479

Entities

People

  • J. F. Boulter

Tags

Communities of Interest

  • Counter IED
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Adaptive Training
  • Color Separation
  • Digital Image Processing
  • Digital Images
  • Distribution Functions
  • Image Classification
  • Image Processing
  • Image Segmentation
  • Images
  • Photographs
  • Reflection
  • Reflectivity
  • Square Roots
  • Surface Properties
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Physics

Readers

  • Computer Vision.