1 June 2011 Efficient multiresolution level set image segmentation with multiple regions
Author Affiliations +
Optical Engineering, 50(6), 067005 (2011). doi:10.1117/1.3582863
This study is to investigate a new representation of a partition of an image domain into a fixed but arbitrary number of regions via active contours and level sets. The proposed algorithm is composed of simple closed evolving planar curves by an explicit correspondence to minimize the energy functional containing three terms: multiregion fitting energy, regularization related to the length of the curve, and the distance regularizing term to penalize the deviation of the level set function from a signed distance function. This formulation leads to a system of coupled curve evolution equations, which is easily amenable to a level set implementation, and an unambiguous segmentation because the evolving regions form a partition of the image domain at all times during curve evolution. In order to increase the robustness of the method to noise and to reduce the computational cost, a multiresolution level set schema is proposed, which can perform the evolution curves of the partitioned image at a different resolution. Given these advantages, the proposed method can get good performance and experiments show promising segmentation results on both synthetic and real images.
Jiangxiong Fang, Jie Yang, Enmei Tu, Zhenghong Jia, Nikola K. Kasabov, "Efficient multiresolution level set image segmentation with multiple regions," Optical Engineering 50(6), 067005 (1 June 2011). https://doi.org/10.1117/1.3582863

Image segmentation

Image resolution

Image processing algorithms and systems

Optical engineering

Motion models

Image processing

Spatial resolution

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