Use of gray value distribution of run lengths for texture analysis

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

doi:10.1016/0167-8655(90)90112-F

Use of gray value distribution of run lengths for texture analysis

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

Physiology & Biomedical Engineering

Research output: Contribution to journal › Article › peer-review

304 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 language	English (US)
Pages (from-to)	415-419
Number of pages	5
Journal	Pattern Recognition Letters
Volume	11
Issue number	6
DOIs	https://doi.org/10.1016/0167-8655(90)90112-F
State	Published - 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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10.1016/0167-8655(90)90112-F

Cite this

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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, {J. F.}",

year = "1990",

month = jun,

doi = "10.1016/0167-8655(90)90112-F",

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volume = "11",

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

AU - Chu, A.

AU - Sehgal, C. M.

AU - Greenleaf, J. F.

PY - 1990/6

Y1 - 1990/6

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

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

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

M3 - Article

AN - SCOPUS:0025585326

SN - 0167-8655

VL - 11

SP - 415

EP - 419

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 6

ER -

Use of gray value distribution of run lengths for texture analysis

Abstract

Keywords

ASJC Scopus subject areas

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