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
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;
Conference_Titel :
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-5653-6
Electronic_ISBN :
1522-4880
DOI :
10.1109/ICIP.2009.5413472
