In the context of sea monitoring, an important processing step is image segmentation. In this paper, the authors propose a new segmentation method that combines fuzzy and graphbased theories. The algorithm, starting from a single source element belonging to the region of interest, proceeds with a propagation mechanism that aims at finding a...
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2015 (v1)PublicationUploaded on: April 14, 2023
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2015 (v1)Publication
In the context of sea and ocean monitoring from (single polarization) SAR images, an innovative approach in the handling of azimuth ambiguities is here described. The purpose of this paper is to provide a theoretical explanation of the method briefly presented at IGARSS 2013 [1], and suggest applications in coastal and maritime traffic...
Uploaded on: April 14, 2023 -
2015 (v1)Publication
In this paper, a new graph-based segmentation method is proposed. Various Regions of Interest (ROIs) can be extracted from digital images/volumes without requiring any processing parameters. Only one point belonging to the region of interest must be given. The method, starting from a single source element, proceeds with a specific propagation...
Uploaded on: March 27, 2023 -
2015 (v1)Publication
In this paper, a quantitative evaluation of the graph-based segmentation method presented in a previous work is performed. The algorithm, starting from a single source element belonging to a region of interest, aims at finding the optimal path minimizing a new cost function for all elements of a digital volume. The method is an adaptive,...
Uploaded on: April 14, 2023 -
2014 (v1)Publication
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Uploaded on: April 14, 2023