@inproceedings{allili_approach_2008,

title = {An approach for dynamic combination of region and boundary information in segmentation},

author = {M. S. Allili and D. Ziou},

url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-77957954657&doi=10.1109%2ficpr.2008.4761384&partnerID=40&md5=92c6dc032da4938d5c1c3ced6af1671c},

doi = {10.1109/icpr.2008.4761384},

isbn = {10514651 (ISSN); 978-142442175-6 (ISBN)},

year  = {2008},

date = {2008-01-01},

booktitle = {Proceedings - International Conference on Pattern Recognition},

publisher = {Institute of Electrical and Electronics Engineers Inc.},

abstract = {Image segmentation combining boundary and region information has been the subject of numerous research works in the past. This combination is usually subject to arbitrary weighting parameters (hyper-parameters) that control the contribution of boundary and region features during segmentation. In this work, we investigate a new approach for estimating the hyper-parameters adaptively to segmentation. The approach takes its roots from the physical properties of the energy functional controlling segmentation and a Bayesian formulation of segmentation and hyper-parameters estimation. © 2008 IEEE.},

note = {Journal Abbreviation: Proc. Int. Conf. Pattern Recognit.},

keywords = {Arbitrary weighting, Bayesian formulation, Bayesian networks, Boundary information, Dynamic combination, Energy functionals, Hyper-parameter, Image segmentation, New approaches, Parameter estimation, Pattern Recognition, Region information},

pubstate = {published},

tppubtype = {inproceedings}

}