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Multispectral images segmentation using new fuzzy cluster centroid modified
(Institute of Electrical and Electronics Engineers Inc., 2017)
The presence of outliers, noise, corrupt pieces of data and great quantity of samples in a multispectral image, makes the segmentation analysis work tedious. The fuzzy clustering approach, specially, is susceptible to ...
Segmentation of neonatal brain magnetic resonance images
(CIMAT, 2016)
Segmentation of neonatal brain magnetic resonance images
(CIMAT, 2016)
Semantic image segmentation using morphological tools
(IEEE, 2002)
In this work, we study the extraction of semantic objects using morphological tools. We decompose the image into its level sets and level lines (the borders of the level sets). Specifically, from all the level lines we ...
Image segmentation through combined methods: Watershed transform, unsupervised distance learning and normalized cut
(2014-01-01)
Research on image processing has shown that combining segmentation methods may lead to a solid approach to extract semantic information from different sort of images. Within this context, the Normalized Cut (NCut) is usually ...