00563nas a2200157 4500008004100000245007200041210007200113260003300185300001000218100002300228700001600251700001700267700002500284700002000309856007600329 2009 hun d00aKör alakú objektumok szegmentálása Markov mező segítségével0 aKör alakú objektumok szegmentálása Markov mező segítségével aBudapestbAkaprintcJan 2009 a1 - 91 aBlaskovics, Tamás1 aJermyn, Ian1 aKato, Zoltan1 aChetverikov, Dmitrij1 aSziranyi, Tamas uhttp://vision.sztaki.hu/~kepaf/kepaf2009_CD/files/116-4-MRFCircle08.pdf01105nas a2200157 4500008004100000020002300041245006800064210006500132260003300197300001600230520053700246100002300783700001700806700001600823856010800839 2009 eng d a978-1-4244-5653-6 00aA Markov random field model for extracting near-circular shapes0 aMarkov random field model for extracting nearcircular shapes aCairo, EgyptbIEEEcNov 2009 a1073 - 10763 a
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 resultingMRF 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. ©2009 IEEE.
1 aBlaskovics, Tamás1 aKato, Zoltan1 aJermyn, Ian uhttps://www.inf.u-szeged.hu/publication/a-markov-random-field-model-for-extracting-near-circular-shapes