- INVESTIGACIÓN
- INVESTIGACIÓN
ARTÍCULOS DESTACADOS
Designing light-emitting diode arrays for uniform near-field irradiance
We analyze the first-order design of light sources consisting of multiple light-emitting diodes (LEDs) to uniformly illuminate a near target plane by considering each single LED as an imperfect Lambertian emitter.
Laser in agriculture
The review has shown its applicability to one of the plant’s phenological stages so that it can contribute to improve agricultural productivity and quality. Moreover, its application may be regarded as a sustainable method existing today, one invention from the past to the future.
Designing light-emitting diode arrays for uniform near-field irradiance
Laser in agriculture
Weather radar data analysis oriented to improve the quality of rainfall estimation
A LED-based smart illumination system for studying plant growth
The system uses lamps containing blue and red LEDs programmed to emit various spectra at sixteen different frequencies and ten different pulse widths.
Weather radar data analysis oriented to improve the quality of rainfall estimation
A LED-based smart illumination system for studying plant growth
A tour of nonlocal means techniques for image filtering
Some different alternatives to change the classical exponential kernel function used in NLM methods are explored.
Modeling of the dynamics of CO2 in greenhouses: A comparative study
Three mathematical models for the dynamic behavior of CO2 inside a greenhouse with the climatic conditions of Central Mexico were analyzed.
A tour of nonlocal means techniques for image filtering
Modeling of the dynamics of CO2 in greenhouses: A comparative study
Roundness Estimation of Sedimentary Rocks Using Eliptic Fourier and Deep Neural Networks
Sedimentary rocks analysis is useful in geological science, economic sector, and risk evaluation. Roundness is a morphological parameter that provide information to characterize and classify sedimentary material.
Optical granulometric analysis of sedimentary deposits by color segmentation-based software: OPTGRAN-CS
We have developed a novel algorithm and software for grain size distribution analysis, based on color image segmentation.
Roundness Estimation of Sedimentary Rocks Using Eliptic Fourier and Deep Neural Networks
Optical granulometric analysis of sedimentary deposits by color segmentation-based software: OPTGRAN-CS
Phase recovery from a single fringe pattern using an orientational vector-field-regularized estimator
We propose the demodulation of fringe patterns with closed fringes through the computation of the modulo 2𝜋 fringe orientation using an orientational vector-field-regularized estimator.
Entropy estimation for robust image segmentation in presence of non Gaussian noise
We introduce a new approach for robust image segmentation. The idea is to combine two strategies within a Bayesian framework.
Phase recovery from a single fringe pattern using an orientational vector-field-regularized estimator
Entropy estimation for robust image segmentation in presence of non Gaussian noise
Temporal fringe projection profilometry: Modified fringe-frequency range for error reduction
We analyze the generation of fringes that offers better conditions to process them through the modification of the fringe-frequency range, which may reduce measurement errors.
Bootstrap methods for a measurement estimation problem
Bootstrap methods have proved to be a potentially useful alternative. Moreover, a biased bootstrap recent technique, with which robust parameter estimates are obtained, is used.