Use of gray value distribution of run lengths for texture analysis

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

Research output: Contribution to journalArticle

247 Citations (Scopus)

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 - 1990

Fingerprint

Textures

Keywords

  • Run length
  • texture measure
  • tissue characterization

ASJC Scopus subject areas

  • Computer Vision and Pattern Recognition
  • Signal Processing
  • Electrical and Electronic Engineering

Cite this

Use of gray value distribution of run lengths for texture analysis. / Chu, A.; Sehgal, C. M.; Greenleaf, James F.

In: Pattern Recognition Letters, Vol. 11, No. 6, 1990, p. 415-419.

Research output: Contribution to journalArticle

@article{23a8ebb162a54d0f88c72c6f6763a380,
title = "Use of gray value distribution of run lengths for texture analysis",
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).",
keywords = "Run length, texture measure, tissue characterization",
author = "A. Chu and Sehgal, {C. M.} and Greenleaf, {James F}",
year = "1990",
doi = "10.1016/0167-8655(90)90112-F",
language = "English (US)",
volume = "11",
pages = "415--419",
journal = "Pattern Recognition Letters",
issn = "0167-8655",
publisher = "Elsevier",
number = "6",

}

TY - JOUR

T1 - Use of gray value distribution of run lengths for texture analysis

AU - Chu, A.

AU - Sehgal, C. M.

AU - Greenleaf, James F

PY - 1990

Y1 - 1990

N2 - 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).

AB - 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).

KW - Run length

KW - texture measure

KW - tissue characterization

UR - http://www.scopus.com/inward/record.url?scp=0025585326&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=0025585326&partnerID=8YFLogxK

U2 - 10.1016/0167-8655(90)90112-F

DO - 10.1016/0167-8655(90)90112-F

M3 - Article

AN - SCOPUS:0025585326

VL - 11

SP - 415

EP - 419

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

SN - 0167-8655

IS - 6

ER -