Paper
27 January 2010 Extraction of arbitrarily-shaped objects using stochastic multiple birth-and-death dynamics and active contours
Maria S. Kulikova, Ian H. Jermyn, Xavier Descombes, Elena Zhizhina, Josiane Zerubia
Author Affiliations +
Proceedings Volume 7533, Computational Imaging VIII; 753306 (2010) https://doi.org/10.1117/12.839191
Event: IS&T/SPIE Electronic Imaging, 2010, San Jose, California, United States
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.
© (2010) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Maria S. Kulikova, Ian H. Jermyn, Xavier Descombes, Elena Zhizhina, and Josiane Zerubia "Extraction of arbitrarily-shaped objects using stochastic multiple birth-and-death dynamics and active contours", Proc. SPIE 7533, Computational Imaging VIII, 753306 (27 January 2010); https://doi.org/10.1117/12.839191
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Cited by 8 scholarly publications.
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KEYWORDS
Stochastic processes

Process modeling

Image processing

Image resolution

Binary data

Detection and tracking algorithms

Image segmentation

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