Extraction of arbitrarily shaped objects using stochastic multiple birth-and-death dynamics and active contours

Kulikova, M.S.; Jermyn, I.H.; Descombes, X.; Zhizhina, E.; Zerubia, J.

Abstract

We extend the marked point process models that have been used for object extraction from images to arbitrarily shaped objects, without greatly increasing the computational complexity of sampling and estimation. The approach can be viewed as an extension of the active contour methodology to an a priori unknown number of objects. Sampling and estimation are based on a stochastic birth-and-death process defined in a space of multiple, arbitrarily shaped objects, where the objects are defined by the image data and prior information. The performance of the approach is demonstrated via experimental results on synthetic and real data.

Citation

Kulikova, M., Jermyn, I., Descombes, X., Zhizhina, E., & Zerubia, J. (2010, January). Extraction of arbitrarily shaped objects using stochastic multiple birth-and-death dynamics and active contours. Presented at SPIE Conference on Electronic Imaging, San Jose, USA

• Presentation Conference Type: Conference Paper (published)
• Conference Name: SPIE Conference on Electronic Imaging
• Publication Date: Jan 1, 2010
• Deposit Date: Aug 12, 2011
• Publicly Available Date: Apr 14, 2016
• Volume: 7533
• Series Title: Proceedings of SPIE
• Series Number: 7533
• Series ISSN: 0277-786X
• Book Title: Computational Imaging VIII: proceedings of SPIE-IS&T Electronic Imaging.
• DOI: https://doi.org/10.1117/12.839191
• Public URL: https://durham-repository.worktribe.com/output/1158128