RT Book, Section
T1 Gradient Fusion Operators for Vector-Valued Image Processing
A1 López Molina, Carlos
A1 Montero De Juan, Francisco Javier
A1 Bustince, Humberto
A1 De Baets, Bernard
A2 Olaso, Pablo
A2 Rojas Patuelli, Karina
A2 Gómez González, Daniel
A2 Montero De Juan, Francisco Javier
AB While classical image processing algorithms were designed for scalar-valued (binary or grayscale) images, new technologies have made it commonplace to work with vector-valued ones. These technologies can involve new types of sensors, as in remote sensing, but also mathematical models leading to an increased cardinality at each pixel. This work analyzes the role of first-order differentiation in vector-valued images; specifically, we explore a novel operator to produce a 2D vector from a Jacobian matrix, in order to represent the variation in a vector-valued image as a planar feature.
PB Springer
SN 978-3319668260
YR 2017
FD 2017
LK https://hdl.handle.net/20.500.14352/19473
UL https://hdl.handle.net/20.500.14352/19473
LA eng
NO Kacprzyk, J., Szmidt, E., Zadrożny, S., Atanassov, K.T., Krawczak, M. eds: Advances in Fuzzy Logic and Technology 2017. Springer International Publishing, Cham (2018)
NO International Workshop on Intuitionistic Fuzzy Sets and Generalized Nets Proceedings of the Conference of the European Society for Fuzzy Logic and Technology
DS Docta Complutense
RD 30 jul 2025