@misc{10481/101440,
year = {2020},
url = {https://hdl.handle.net/10481/101440},
abstract = {In this paper, we propose a fuzzy approach for
texture-based segmentation, where both the obtained regions and
the texture features are fuzzy. This way, we have considered
the imprecision related to the texture concept, as well as the
imprecision associated with the boundaries between regions in
the images. With regard to the texture descriptors, we propose
to define them on the basis of the perceptual properties of texture.
Since these properties are imprecise by nature, they are modelled
by means of fuzzy sets defined on the domain of some of the
most representative measures of each property. With regard to
the segmentation technique, a fuzzy path-based segmentation is
proposed. In this approach, fuzzy connectivity is used to measure
the relationship between any pair of pixels. Thus, given a set
of seed points, fuzzy regions are obtained on the basis of the
connectivity between each seed point and the rest of pixels
in the image. Finally, this proposal is applied to obtain fuzzy
segmentations from real images},
organization = {IEEE},
publisher = {IEEE},
keywords = {Image analysis},
keywords = {texture modelling},
keywords = {fuzzy segementation},
title = {A fuzzy approach for texture-based segmentation},
doi = {https://doi.org/10.1109/FUZZ48607.2020.9177584},
author = {Martínez-Jiménez, Pedro Manuel and Chamorro Martínez, Jesús and Prados Suárez, María Belén},
}