The face is the most visible biometric feature considered in manual and automated systems
to identify individuals. In recent years, the inventions of low-cost high-resolution mobile …

As special aggregation functions, overlap functions have been widely used in the soft
computing field. In this work, with the aid of overlap functions, two new groups of fuzzy …

This work presents a new algorithm based on Atanassov's intuitionistic fuzzy sets and fuzzy
mathematical morphology to leukocytes segmentation in color images. The main idea is …

Debido al incremento en los costos de mantenimiento, rehabilitación y construcción de vías,
estudiar las estructuras de pavimento para determinar su comportamiento y sus …

Abstract Deep Neural Networks (DNNs) are generated by sequentially performing linear and
non-linear processes. The combination of linear and non-linear procedures is critical for …

Field weeds identification is challenging for precision spraying, ie, the automation
identification of the weeds from the crops. For rapidly obtaining weed distribution in field, this …

Red blood cell counting, as a routine examination, plays an important role in medical
diagnoses. Although automated hematology analyzers are widely used, manual microscopic …

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 …

Fuzzy implications, as a generalization of the classical implication, are not only required in
fuzzy logic systems and fuzzy control but also have an important effect on solving fuzzy …

In this paper, the definition of three-dimensional generalized discrete fuzzy number (3-
GDFN) is introduced based on the representation theorem of one-dimensional discrete fuzzy …