Use of gray value distribution of run lengths for texture analysis

A. Chu, C. M. Sehgal, J. F. Greenleaf

Research output: Contribution to journalArticle

281 Scopus citations

Abstract

Most of the texture measures based on run lengths use only the lengths of the runs and their distribution. We propose to use the gray value distribution of the runs to define two new features, viz., low gray level run emphasis (LGRE) and high gray level run emphasis (HGRE).

Original languageEnglish (US)
Pages (from-to)415-419
Number of pages5
JournalPattern Recognition Letters
Volume11
Issue number6
DOIs
StatePublished - Jun 1990

Keywords

  • Run length
  • texture measure
  • tissue characterization

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Computer Vision and Pattern Recognition
  • Artificial Intelligence

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