Image characterizations based on joint gray level-run length distributions

  • Authors:
  • Belur V. Dasarathy;Edwin B. Holder

  • Affiliations:
  • -;-

  • Venue:
  • Pattern Recognition Letters
  • Year:
  • 1991

Quantified Score

Hi-index 0.10

Visualization

Abstract

Previous run length based texture analysis studies have mostly relied upon the use of run length or gray level distributions of the number of runs for characterizing the textures of images. In this study, some new joint run length-gray level distributions are proposed which offer additional insight into the image characterization problem and serve as effective features for a texturebased classification of images. Experimental evidence is offered to demonstrate the utilitarian value of these new concepts.