DocumentCode
3475212
Title
A Markov Random Field model for extracting near-circular shapes
Author
Blaskovics, Tamas ; Kato, Zoltan ; Jermyn, Ian
Author_Institution
Image Process. & Comput. Graphics Dept., Univ. of Szeged, Szeged, Hungary
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
1073
Lastpage
1076
Abstract
We propose a binary Markov random field (MRF) model that assigns high probability to regions in the image domain consisting of an unknown number of circles of a given radius. We construct the model by discretizing the `gas of circles´ phase field model in a principled way, thereby creating an `equivalent´MRF. The behaviour of the resulting MRF model is analyzed, and the performance of the new model is demonstrated on various synthetic images as well as on the problem of tree crown detection in aerial images.
Keywords
Markov processes; feature extraction; image segmentation; Markov random field model; aerial image detection; gas of circles phase field model; image segmentation; near-circular shapes extraction; synthetic images; Computer graphics; Humans; Image analysis; Image generation; Image processing; Image segmentation; Markov random fields; Mathematical model; Performance analysis; Shape; Markov random field; segmentation; shape prior;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5413472
Filename
5413472
Link To Document