BOOK-CHAPTER

Unsupervised Image Segmentation Using Markov Random Fields

Abdulkadir Şengürİbrahim TürkoğluM. Cevdet İnce

Year: 2006 Lecture notes in computer science Pages: 158-167   Publisher: Springer Science+Business Media
Keywords:
Image segmentation Computer science Artificial intelligence Scale-space segmentation Segmentation-based object categorization Segmentation Markov random field Pattern recognition (psychology) Expectation–maximization algorithm Markov chain Iterated function Computer vision Mathematics Maximum likelihood Machine learning Statistics

Metrics

1
Cited By
0.34
FWCI (Field Weighted Citation Impact)
17
Refs
0.60
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Topics

Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Medical Image Segmentation Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

Related Documents

JOURNAL ARTICLE

Unsupervised image segmentation using triplet Markov fields

Dalila BenboudjemaWojciech Pieczynski

Journal:   Computer Vision and Image Understanding Year: 2005 Vol: 99 (3)Pages: 476-498
BOOK-CHAPTER

Unsupervised image segmentation using Markov Random Field models

Simon A. BarkerP. J. Rayner

Lecture notes in computer science Year: 1997 Pages: 165-178
JOURNAL ARTICLE

Unsupervised image segmentation using Markov random field models

Simon A. BarkerPjw Rayner

Journal:   Pattern Recognition Year: 2000 Vol: 33 (4)Pages: 587-602
JOURNAL ARTICLE

Color image segmentation using Markov random fields

M.J. Daily

Year: 2003 Pages: 304-312
JOURNAL ARTICLE

Adaptive color image segmentation using Markov random fields

Slawomir WesolkowskiPaul Fieguth

Journal:   Proceedings - International Conference on Image Processing Year: 2003 Vol: 1 Pages: 769-772
© 2026 ScienceGate Book Chapters — All rights reserved.