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| Pascal Martin, Philippe R?fr?gier, Fran?ois Goudail, Fr?d?ric Gu?rault, "Influence of the Noise Model on Level Set Active Contour Segmentation," IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 26, no. 6, pp. 799-803, June, 2004. | |||
| BibTex | x | ||
| @article{ 10.1109/TPAMI.2004.11, author = {Pascal Martin and Philippe R?fr?gier and Fran?ois Goudail and Fr?d?ric Gu?rault}, title = {Influence of the Noise Model on Level Set Active Contour Segmentation}, journal ={IEEE Transactions on Pattern Analysis and Machine Intelligence}, volume = {26}, number = {6}, issn = {0162-8828}, year = {2004}, pages = {799-803}, doi = {http://doi.ieeecomputersociety.org/10.1109/TPAMI.2004.11}, publisher = {IEEE Computer Society}, address = {Los Alamitos, CA, USA}, } | |||
| RefWorks Procite/RefMan/Endnote | x | ||
| TY - JOUR JO - IEEE Transactions on Pattern Analysis and Machine Intelligence TI - Influence of the Noise Model on Level Set Active Contour Segmentation IS - 6 SN - 0162-8828 SP799 EP803 EPD - 799-803 A1 - Pascal Martin, A1 - Philippe R?fr?gier, A1 - Fran?ois Goudail, A1 - Fr?d?ric Gu?rault, PY - 2004 KW - Segmentation KW - level-set methods KW - active contours KW - minimum description length. VL - 26 JA - IEEE Transactions on Pattern Analysis and Machine Intelligence ER - | |||
Abstract—We analyze level set implementation of region snakes based on the maximum likelihood method for different noise models that belong to the exponential family. We show that this approach can improve segmentation results in noisy images and we demonstrate that the regularization term can be efficiently determined using an information theory-based approach, i.e., the minimum description length principle. The criterion to be optimized has no free parameter to be tuned by the user and the obtained segmentation technique is adapted to nonsimply connected objects.
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