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Here we present an automatic analysis pipeline detecting scratch boundaries and measuring areas based on level sets.
Based on level sets of fuzzy sets, we propose definitions of limits of sequences of fuzzy sets, and limits and derivatives of fuzzy set-valued mappings.
The performed tests on pathological and non-pathological fundus images demonstrate that the proposed method performs better than the existing approaches based on level sets.
In this article, we proposed definitions of limits of sequences of fuzzy sets, and limits and derivatives of fuzzy set-valued mappings based on level sets of fuzzy sets, and investigated their properties.
To the best of our knowledge, there have been only a few studies in the literature proposing methods based on level sets to trace vasculature in retinal fundus images.
The accuracy and robustness of the presented approach are demonstrated by evaluating it on multiple real data sets and comparing it to alternative segmentation methods based on level sets.
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This paper presents an adaptive method for variational curve smoothing based on level set implementation.
Then, described in Section 3.2, based on level set method, a stable edge profile is obtained.
Secondly, a new segmentation technique based on level set approach is developed.
In [7], a single-look PolSAR image segmentation algorithm based on level set and complex Gaussian distribution is proposed.
In this paper, a filter, which is based on level set, has been explored for speckle removal in SAR images.
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