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Active contour model driven by Globally Signed Region Pressure Force

Abdelsamea, Mohammed and Tsaftaris, Sotirios A. Active contour model driven by Globally Signed Region Pressure Force. In: 18th International Conference on Digital Signal Processing (DSP), 2013. IEEE, pp. 1-6. (2013)

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One of the most popular and widely used global active contour models (ACM) is the region-based ACM, which relies on the assumption of homogeneous intensity in the regions of interest. As a result, most often than not, when images violate this assumption the performance of this method is limited. Thus, handling images that contain foreground objects characterized by multiple intensity classes present a challenge. In this paper, we propose a novel active contour model based on a new Signed Pressure Force (SPF) function which we term Globally Signed Region Pressure Force (GSRPF). It is designed to incorporate, in a global fashion, the skewness of the intensity distribution of the region of interest (ROI). It can accurately modulate the signs of the pressure force inside and outside the contour, it can handle images with multiple intensity classes in the foreground, it is robust to additive noise, and offers high efficiency and rapid convergence. The proposed GSRPF is robust to contour initialization and has the ability to stop the curve evolution close to even ill-defined (weak) edges. Our model provides a parameter-free environment to allow minimum user intervention, and offers both local and global segmentation properties. Experimental results on several synthetic and real images demonstrate the high accuracy of the segmentation results in comparison to other methods adopted from the literature.

Item Type: Book Section
Identification Number: 10.1109/ICDSP.2013.6622691
Uncontrolled Keywords: Active contours; Region-based segmentation; Signed pressure force; Variational level set method
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Research Area: Computer Science and Applications
Depositing User: Ms T. Iannizzi
Date Deposited: 20 Nov 2013 10:52
Last Modified: 20 Nov 2013 10:52
URI: http://eprints.imtlucca.it/id/eprint/1915

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