Skin hair removal in dermoscopic images using soft color morphology

P Bibiloni, M González-Hidalgo, S Massanet - Artificial Intelligence in …, 2017 - Springer
Dermoscopic images are useful tools towards the diagnosis and classification of skin
lesions. One of the first steps to automatically study them is the reduction of noise, which …

Soft color morphology: A fuzzy approach for multivariate images

P Bibiloni, M González-Hidalgo, S Massanet - Journal of Mathematical …, 2019 - Springer
Mathematical morphology is a framework composed by a set of well-known image
processing techniques, widely used for binary and grayscale images, but less commonly …

Colour morphological operators based on formal concept analysis

L Zhao, J Wang, Y Li - Signal, Image and Video Processing, 2020 - Springer
To avoid the destruction of the colour topology of image and the loss of details caused by the
existing morphological operators, new colour morphological operators are proposed based …

Hyperspectral imaging using notions from type-2 fuzzy sets

A López-Maestresalas, L De Miguel, C Lopez-Molina… - Soft Computing, 2019 - Springer
Fuzzy set theory has developed a prolific armamentarium of mathematical tools for each of
the topics that has fallen within its scope. One of such topics is data comparison, for which a …

Soft Computing Based Technique for Optic Disc and Cup Detection in Digital Fundus Images

P Bibiloni, M González-Hidalgo, S Massanet… - … 2017: Proceedings of …, 2018 - Springer
Cup-to-disc ratio is an important measure to diagnose glaucoma. This measure can be
automatically computed from the segmentation of the optic disc and cup in eye-fundus …

[PDF][PDF] Fuzzy Black Top-Hat and Hit-or-Miss transformations and their applications

P BIBILONI, M GONZALEZ-HIDALGO… - … of Symposia on …, 2017 - matap.uma.es
Soft computing techniques and, in particular, fuzzy mathematical morphology, has been
used to deal with the uncertainty typically present in images, providing state-of-the-art results …