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Canopy architecture assessment of cherry trees by cover photography based on variable light extinction coefficient modelled using artificial neural networks
(2019)
Leaf area index (LAI) is one of the most important parameters in physiological and functional plant models to estimate tree canopy vigor and photosynthesis. However, LAI requires either destructive or indirect methods for ...
Contour detection in images with speckle by using the bi-geometric structure
(2019)
The speckle produces severe degradations in digital images, which could be introduced by technological devices during the acquisition, capture or transmission of the images. This perturbation affects, for instance, medical ...
Heuristic parametrization of anisotropic diffusion filtering
(2019)
The methods of evolutionary computation allow to set optimal values in a space of solutions from a candidate set. In this work, we have used evolutionary methods, for optimal parameters setting of the anisotropic diffusion ...
Neural networks ensemble for automatic DNA microarray spot classification
(2019)
In this work, a new step for the DNA microarray image analysis pipeline is proposed using neural computing techniques. We perform the classification of the spots into morphology-derived classes in order to assist the ...
Performance analysis of clustering internal validation indexes with asymmetric clusters
(2019)
The present work evaluates the performance of a set of internal clustering indexes in artificial and real data sets regarding a specific structural characteristic. In particular, it deals with data sets whose clusters ...
Extreme learning machines to combat phase noise in RoF-OFDM schemes
(2019)
Radio-over-fiber (RoF) orthogonal frequency division multiplexing (OFDM) systems have been revealed as the solution to support secure, cost-effective, and high-capacity wireless access for the future telecommunication ...
Multiplicative local binary patterns (MuLBP)
(2019)
Speckle is a multiplicative noise that greatly deteriorates images. In this paper a model of Local Binary Patterns (LBP) adapted to images with speckle (MuLBP) is proposed. The multiplicative model is constructed by ...
Individuals identification based on palm vein matching under a parallel environment
(2019)
Biometric identification and verification are essential mechanisms in modern society. Palm vein recognition is an emerging biometric technique, which has several advantages, especially in terms of security against forgery. ...
The gender role on moderator effect of food safety label between perceived quality and risk on fresh vegetables
(2019)
El rol de la etiqueta de inocuidad alimentaria en hortalizas frescas ha recibido poca atención en economías en desarrollo y menos atención desde la perspectiva del género. En este contexto, se desarrolló un modelo conceptual ...
Fast finger vein recognition based on sparse matching algorithm under a multicore platform for real-time individuals identification
(2019)
Nowadays, individual identification is a problem in many private companies, but also in governmental and public order entities. Currently, there are multiple biometric methods, each with different advantages. Finger vein ...