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RELAXED ORIENTED IMAGE FORESTING TRANSFORM FOR SEEDED IMAGE SEGMENTATION

Abstract: 

In this work, we propose a hybrid method for seeded image segmentation, named Relaxed OIFT, which extends a method by Malmberg et al. to directed graphs, to properly incorporate the boundary polarity constraint. Relaxed OIFT lies between the pure Oriented Image Foresting Transform (OIFT) at one end and the extension of Random Walks (RW) to directed graphs as proposed by Singaraju et al. Relaxed OIFT is evaluated in MR and CT medical images, producing more intuitively correct segmentation results than both OIFT and RW, and being easy to be extended to multi-dimensional images.

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Paper Details

Authors:
Caio L. Demario, Paulo A.V. Miranda
Submitted On:
22 September 2019 - 6:12pm
Short Link:
Type:
Poster
Event:
Presenter's Name:
Paulo A. V. Miranda
Paper Code:
3317
Document Year:
2019
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RelaxedOIFT_ICIP19

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[1] Caio L. Demario, Paulo A.V. Miranda, "RELAXED ORIENTED IMAGE FORESTING TRANSFORM FOR SEEDED IMAGE SEGMENTATION", IEEE SigPort, 2019. [Online]. Available: http://sigport.org/4818. Accessed: Aug. 13, 2020.
@article{4818-19,
url = {http://sigport.org/4818},
author = {Caio L. Demario; Paulo A.V. Miranda },
publisher = {IEEE SigPort},
title = {RELAXED ORIENTED IMAGE FORESTING TRANSFORM FOR SEEDED IMAGE SEGMENTATION},
year = {2019} }
TY - EJOUR
T1 - RELAXED ORIENTED IMAGE FORESTING TRANSFORM FOR SEEDED IMAGE SEGMENTATION
AU - Caio L. Demario; Paulo A.V. Miranda
PY - 2019
PB - IEEE SigPort
UR - http://sigport.org/4818
ER -
Caio L. Demario, Paulo A.V. Miranda. (2019). RELAXED ORIENTED IMAGE FORESTING TRANSFORM FOR SEEDED IMAGE SEGMENTATION. IEEE SigPort. http://sigport.org/4818
Caio L. Demario, Paulo A.V. Miranda, 2019. RELAXED ORIENTED IMAGE FORESTING TRANSFORM FOR SEEDED IMAGE SEGMENTATION. Available at: http://sigport.org/4818.
Caio L. Demario, Paulo A.V. Miranda. (2019). "RELAXED ORIENTED IMAGE FORESTING TRANSFORM FOR SEEDED IMAGE SEGMENTATION." Web.
1. Caio L. Demario, Paulo A.V. Miranda. RELAXED ORIENTED IMAGE FORESTING TRANSFORM FOR SEEDED IMAGE SEGMENTATION [Internet]. IEEE SigPort; 2019. Available from : http://sigport.org/4818