High Level Color Similarity Retrieval

Peter L. Stanchev; David Green; Boyan N. Dimitrov

High Level Color Similarity Retrieval

Peter L. Stanchev, David Green, Boyan N. Dimitrov

Kettering University

Kettering University

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

Abstract

In this paper a new method for image retrieval using high level color semantic features is proposed. It is based on extraction of low level color characteristics and their conversion into high level semantic features using Johannes Itten theory of color, Dempster-Shafer theory of evidence and fuzzy production rules.

Original language	American English
Journal	International Journal "Information Theories Applications"
Volume	10
State	Published - Jan 1 2003

Keywords

Image Databases
Contents Retrieval
Color

Disciplines

Mathematics

Access to Document

http://sci-gems.math.bas.bg/jspui/handle/10525/950

Cite this

@article{a3f5c4d4b1a0444f86335efcf9e67032,

title = "High Level Color Similarity Retrieval",

abstract = " In this paper a new method for image retrieval using high level color semantic features is proposed. It is based on extraction of low level color characteristics and their conversion into high level semantic features using Johannes Itten theory of color, Dempster-Shafer theory of evidence and fuzzy production rules.",

keywords = "Image Databases, Contents Retrieval, Color",

author = "Stanchev, {Peter L.} and David Green and Dimitrov, {Boyan N.}",

year = "2003",

month = jan,

day = "1",

language = "American English",

volume = "10",

journal = "International Journal {"}Information Theories Applications{"}",

}

TY - JOUR

T1 - High Level Color Similarity Retrieval

AU - Stanchev, Peter L.

AU - Green, David

AU - Dimitrov, Boyan N.

PY - 2003/1/1

Y1 - 2003/1/1

N2 - In this paper a new method for image retrieval using high level color semantic features is proposed. It is based on extraction of low level color characteristics and their conversion into high level semantic features using Johannes Itten theory of color, Dempster-Shafer theory of evidence and fuzzy production rules.

AB - In this paper a new method for image retrieval using high level color semantic features is proposed. It is based on extraction of low level color characteristics and their conversion into high level semantic features using Johannes Itten theory of color, Dempster-Shafer theory of evidence and fuzzy production rules.

KW - Image Databases

KW - Contents Retrieval

KW - Color

UR - https://digitalcommons.kettering.edu/mathematics_facultypubs/38

UR - http://sci-gems.math.bas.bg/jspui/handle/10525/950

M3 - Article

VL - 10

JO - International Journal "Information Theories Applications"

JF - International Journal "Information Theories Applications"

ER -

High Level Color Similarity Retrieval

Abstract

Keywords

Disciplines

Access to Document

Other files and links

Cite this