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

Department of Electronics and Communication Engineering

Istanbul Technical University

Research output: Contribution to journal › Conference article › peer-review

2 Citations (Scopus)

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.

Original language	English
Article number	413557
Pages (from-to)	187-191
Number of pages	5
Journal	Proceedings - International Conference on Image Processing, ICIP
Volume	2
DOIs	https://doi.org/10.1109/ICIP.1994.413557
Publication status	Published - 1994
Event	The 1994 1st IEEE International Conference on Image Processing - Austin, TX, USA Duration: 13 Nov 1994 → 16 Nov 1994

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Publisher Copyright:
© 1994 IEEE.

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10.1109/ICIP.1994.413557

Cite this

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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",

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AU - Günsel, B.

AU - Panayirci, E.

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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.

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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

Abstract

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