Multiple Resolution Texture Analysis and Classification

Shmuel Peleg, Joseph Naor, Ralph Hartley, David Avnir

Research output: Contribution to journalArticlepeer-review

720 Scopus citations

Abstract

Textures are classified based on the change in their properties with changing resolution. The area of the gray level surface is mea- sured at serveral resolutions. This area decreases at coarser resolutions since fine details that contribute to the area disappear. Fractal properties of the picture are computed from the rate of this decrease in area, and are used for texture comparison and classification. The relation of a texture picture to its negative, and directional properties, are also discussed.

Original languageEnglish
Pages (from-to)518-523
Number of pages6
JournalIEEE Transactions on Pattern Analysis and Machine Intelligence
VolumePAMI-6
Issue number4
DOIs
StatePublished - Jul 1984

Keywords

  • fractal signature
  • Fractals
  • multiresolution methods
  • texture classification

Fingerprint

Dive into the research topics of 'Multiple Resolution Texture Analysis and Classification'. Together they form a unique fingerprint.

Cite this