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A general model for multiphase texture segmentation and its applications to retinal image analysis
Authors:Yalin Zheng  Ke Chen
Institution:1. Department of Eye and Vision Science, University of Liverpool, Liverpool, United Kingdom;2. Center for Mathematical Imaging Techniques and Department of Mathematical Sciences, University of Liverpool, Liverpool, United Kingdom
Abstract:In this paper we propose a general variational segmentation model for multiphase texture segmentation based on fuzzy region competition principle. An important strength of the proposed framework is that different region terms (e.g. mutual information Kim et al. (2005) 1], local histogram Ni et al. (2009) 2] models for texture-based segmentation, and piecewise constant intensity model Chan and Vese (2001) 3] for intensity-based segmentation) can be included as appropriate to the problem. Constraints of different phases are considered by introducing Lagrangian multipliers into the energy functional, and a fast numerical solution is achieved by employing the fast dual projection algorithm Chambolle (2004) 4]. The proposed model has been applied to synthetic and natural images in order to make comparisons with other competing models in literature. Our results demonstrate superiority in dealing with multiphase texture segmentation problems. To demonstrate its usefulness in biomedical applications we have applied the new model to two retinal image segmentation problems: segmentation of capillary non-perfusion regions in fluorescein angiogram and segmentation of cellular layers of the retina in optical coherence tomography, and evaluated against the gold standard set by experts. The generalized overlap analysis shows good agreement for both applications. As a generic segmentation technique our new model has the potential to be extended for wider applications.
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