A marked point process model including strong prior shape information applied to multiple object extraction from images

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

Abstract

Object extraction from images is one of the most important tasks in remote sensing image analysis. For accurate extraction from very high resolution (VHR) images, object geometry needs to be taken into account. A method for incorporating strong yet flexible prior shape information into a marked point process model for the extraction of multiple objects of complex shape is presented. To control the computational complexity, the objects considered are defined using the image data and the prior shape information. To estimate the optimal configuration of objects, the process is sampled using a Markov chain based on a stochastic birth-and-death process on the space of multiple objects. The authors present several experimental results on the extraction of tree crowns from VHR aerial images.

Citation

Kulikova, M., Jermyn, I., Descombes, X., Zhizhina, E., & Zerubia, J. (2011). A marked point process model including strong prior shape information applied to multiple object extraction from images. International Journal of Computer Vision and Image Processing, 1(2), 1-12. https://doi.org/10.4018/ijcvip.2011040101

• Journal Article Type: Article
• Publication Date: Apr 1, 2011
• Deposit Date: Aug 12, 2011
• Publicly Available Date: Feb 24, 2016
• Journal: International Journal of Computer Vision and Image Processing
• Print ISSN: 2155-6997
• Electronic ISSN: 2155-6989
• Publisher: IGI Global
• Peer Reviewed: Peer Reviewed
• Volume: 1
• Issue: 2
• Pages: 1-12
• DOI: https://doi.org/10.4018/ijcvip.2011040101
• Keywords: Active Contour, Marked Point Process, Multiple Birth-and-Death Dynamics, Multiple Object Extraction, Shape Prior.
• Public URL: https://durham-repository.worktribe.com/output/1505044