Segmentation of range and intensity images using multiscale Markov random field representations

B. Günsel; E. Panayirci

doi:10.1109/ICIP.1994.413557

Segmentation of range and intensity images using multiscale Markov random field representations

B. Günsel
, E. Panayirci

Elektronik ve Hab.Müh.Bölümü

Istanbul Technical University

Araştırma sonucu: Dergiye katkı › Konferans makalesi › bilirkişi

3 Atıf (Scopus)

Özet

A nonlinear Markov random field (MRF) model-based segmentation method that uses multiscale MRF representations is developed. The proposed method labels the surface boundaries at a variety of spatial scales while labeling the surfaces, therefore it merges the advantages of region-based and edge-based segmentation approaches. The scheme is capable of fusing boundary information obtained at multiple scales simultaneously, resulting in a robust segmentation of range and intensity images.

Orijinal dil	İngilizce
Makale numarası	413557
Sayfa (başlangıç-bitiş)	187-191
Sayfa sayısı	5
Dergi	Proceedings - International Conference on Image Processing, ICIP
Hacim	2
DOI'lar	https://doi.org/10.1109/ICIP.1994.413557
Yayın durumu	Yayınlandı - 1994
Etkinlik	The 1994 1st IEEE International Conference on Image Processing - Austin, TX, USA Süre: 13 Kas 1994 → 16 Kas 1994

Bibliyografik not

Publisher Copyright:
© 1994 IEEE.

Belgeye Erişim

10.1109/ICIP.1994.413557

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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title = "Segmentation of range and intensity images using multiscale Markov random field representations",

abstract = "A nonlinear Markov random field (MRF) model-based segmentation method that uses multiscale MRF representations is developed. The proposed method labels the surface boundaries at a variety of spatial scales while labeling the surfaces, therefore it merges the advantages of region-based and edge-based segmentation approaches. The scheme is capable of fusing boundary information obtained at multiple scales simultaneously, resulting in a robust segmentation of range and intensity images.",

author = "B. G{\"u}nsel and E. Panayirci",

note = "Publisher Copyright: {\textcopyright} 1994 IEEE.; The 1994 1st IEEE International Conference on Image Processing ; Conference date: 13-11-1994 Through 16-11-1994",

year = "1994",

doi = "10.1109/ICIP.1994.413557",

language = "English",

volume = "2",

pages = "187--191",

journal = "Proceedings - International Conference on Image Processing, ICIP",

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TY - JOUR

T1 - Segmentation of range and intensity images using multiscale Markov random field representations

AU - Günsel, B.

AU - Panayirci, E.

PY - 1994

Y1 - 1994

N2 - A nonlinear Markov random field (MRF) model-based segmentation method that uses multiscale MRF representations is developed. The proposed method labels the surface boundaries at a variety of spatial scales while labeling the surfaces, therefore it merges the advantages of region-based and edge-based segmentation approaches. The scheme is capable of fusing boundary information obtained at multiple scales simultaneously, resulting in a robust segmentation of range and intensity images.

AB - A nonlinear Markov random field (MRF) model-based segmentation method that uses multiscale MRF representations is developed. The proposed method labels the surface boundaries at a variety of spatial scales while labeling the surfaces, therefore it merges the advantages of region-based and edge-based segmentation approaches. The scheme is capable of fusing boundary information obtained at multiple scales simultaneously, resulting in a robust segmentation of range and intensity images.

UR - https://www.scopus.com/pages/publications/84997666864

U2 - 10.1109/ICIP.1994.413557

DO - 10.1109/ICIP.1994.413557

M3 - Conference article

AN - SCOPUS:84997666864

SN - 1522-4880

VL - 2

SP - 187

EP - 191

JO - Proceedings - International Conference on Image Processing, ICIP

JF - Proceedings - International Conference on Image Processing, ICIP

M1 - 413557

T2 - The 1994 1st IEEE International Conference on Image Processing

Y2 - 13 November 1994 through 16 November 1994

ER -

Segmentation of range and intensity images using multiscale Markov random field representations

Özet

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

Alıntı Yap