Color image segmentation and parameter estimation in a markovian framework

Zoltan Kato; Ting Chuen Pong; John Chung-Mong Lee

doi:10.1016/S0167-8655(00)00106-9

Color image segmentation and parameter estimation in a markovian framework

Zoltan Kato
, Ting Chuen Pong^*
, John Chung-Mong Lee

^*Corresponding author for this work

Department of Computer Science and Engineering

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

45 Citations (Scopus)

Abstract

An unsupervised color image segmentation algorithm is presented, using a Markov random field (MRF) pixel classification model. We propose a new method to estimate initial mean vectors effectively even if the histogram does not have clearly distinguishable peaks. The only parameter supplied by the user is the number of classes.

Original language	English
Pages (from-to)	309-321
Number of pages	13
Journal	Pattern Recognition Letters
Volume	22
Issue number	3-4
DOIs	https://doi.org/10.1016/S0167-8655(00)00106-9
Publication status	Published - Mar 2001

Keywords

Color
Markov random field
Parameter estimation
Pixel classification
Unsupervised image segmentation

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10.1016/S0167-8655(00)00106-9

Cite this

@article{c721f85242ff4e74899eee9b87bce4c0,

title = "Color image segmentation and parameter estimation in a markovian framework",

abstract = "An unsupervised color image segmentation algorithm is presented, using a Markov random field (MRF) pixel classification model. We propose a new method to estimate initial mean vectors effectively even if the histogram does not have clearly distinguishable peaks. The only parameter supplied by the user is the number of classes.",

keywords = "Color, Markov random field, Parameter estimation, Pixel classification, Unsupervised image segmentation",

author = "Zoltan Kato and Pong, \{Ting Chuen\} and \{Chung-Mong Lee\}, John",

year = "2001",

month = mar,

doi = "10.1016/S0167-8655(00)00106-9",

language = "English",

volume = "22",

pages = "309--321",

journal = "Pattern Recognition Letters",

issn = "0167-8655",

publisher = "Elsevier B.V.",

number = "3-4",

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TY - JOUR

T1 - Color image segmentation and parameter estimation in a markovian framework

AU - Kato, Zoltan

AU - Pong, Ting Chuen

AU - Chung-Mong Lee, John

PY - 2001/3

Y1 - 2001/3

N2 - An unsupervised color image segmentation algorithm is presented, using a Markov random field (MRF) pixel classification model. We propose a new method to estimate initial mean vectors effectively even if the histogram does not have clearly distinguishable peaks. The only parameter supplied by the user is the number of classes.

AB - An unsupervised color image segmentation algorithm is presented, using a Markov random field (MRF) pixel classification model. We propose a new method to estimate initial mean vectors effectively even if the histogram does not have clearly distinguishable peaks. The only parameter supplied by the user is the number of classes.

KW - Color

KW - Markov random field

KW - Parameter estimation

KW - Pixel classification

KW - Unsupervised image segmentation

UR - https://www.webofscience.com/wos/woscc/full-record/WOS:000167983900005

UR - https://openalex.org/W2041318605

U2 - 10.1016/S0167-8655(00)00106-9

DO - 10.1016/S0167-8655(00)00106-9

M3 - Journal Article

SN - 0167-8655

VL - 22

SP - 309

EP - 321

JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 3-4

ER -

Color image segmentation and parameter estimation in a markovian framework

Abstract

Keywords

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