Browsing by Author "2c51f55d-01c2-41e9-94b2-48621f9ef134"
Now showing items 1-20 of 31
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A method to construct fruit maturity color scales based on support machines for regression: Application to olives and grape seeds
Mora, Marco
; ; ; ; Fredes, Claudio (2015)
Color scales are a powerful tool used in agriculture for estimate maturity of fruits. Fruit maturity is an important parameter to determine the harvest time. Typically, to obtain the maturity grade, a human expert visually ...
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A method to estimate grape phenolic maturity based on seed images
; Mora, Marco; Fredes, Claudio (2014)
The timing of the grape harvest has a strong impact on wine quality. A recent line of studies proposes visual seed inspection by a trained expert to determine Phenolic Maturity. In this paper a method is presented to ...
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A model based on clusters of similar color and NIR to estimate oil content of single olives
Fredes, Claudio; ; ; Mora, Marco ; ; ; (2021)
Lipid extraction using the traditional, destructive Soxhlet method is not able to measure oil content (OC) on a single olive. As the color and near infrared spectrum are key parameters to build an oil estimation model (EM), ...
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A multi-directional gradient with bi-geometric calculus to detect contours in images with multiplicative noise
; Mora, Marco; (2018)
In this paper a new operator is presented for the detection of contours in images with multiplicative noise, by using the operations introduced in the bi-geometric calculus, since recent results in the literature show that ...
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A new descriptor for person identity verification based on handwritten strokes off-line analysis
Mora, Marco; (2017)
A new descriptor for the verification of people’s identity through the analysis of handwritten text is presented. The proposed descriptor corresponds to a representation of the pattern of writing pressure computed from the ...
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A non-Newtonian gradient for contour detection in images with multiplicative noise
Mora, Marco; Cordova-Lepe, Fernando ; (2012)
In this paper, a new operator for contour detection in images with multiplicative noise is presented. Traditional methods of edge detection, as those based in gradient operator or measures of variance, follow a logic and ...
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A review of convolutional neural network applied to fruit image processing
; Mora, Marco; ; Barrientos, Ricardo ; Fredes, Claudio ; (2020)
Agriculture has always been an important economic and social sector for humans. Fruit production is especially essential, with a great demand from all households. Therefore, the use of innovative technologies is of vital ...
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An analysis of seed colour during ripening of cabernet sauvignon grapes
Fredes, Claudio; Mora, Marco ; Carrasco-Benavides, Marcos (2017)
This case study examines seed colour during ripening using an exhaustive colorimetric analysis. The aim was to associate the chemical ripening with the seed colour in order to estimate the ripening stages of Cabernet ...
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Aspectos éticos del uso de identificadores biométricos
; ; Mora, Marco; Muñoz-Quezada, María Teresa (2020)
La biometría ha tenido una rápida expansión como tecnología, siendo cada vez más accesible para el público general, prestando utilidad a los gobiernos y a la sociedad en el manejo de la seguridad ciudadana. Se aplica ya ...
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Assessment of an automated digital method to estimate leaf area index (LAI) in cherry trees
Carrasco-Benavides, Marcos; Mora, Marco ; ; ; von Bennewitz, Eduardo ; ; (2016)
study was carried out during two growing seasons to evaluate the performance of a digital photography method to estimate the leaf area index (LAID) of cherry tree cultivars. The trial comprised 10 ‘Bing’ and 10 ‘Sweetheart’ ...
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Automated computation of leaf area index from fruit trees using improved image processing algorithms applied to canopy cover digital photograpies
Mora, Marco; ; Carrasco-Benavides, Marcos ; ; ; (2016)
Leaf area index (LAI) is a critical parameter in plant physiology for models related to growth, photosynthetic activity and evapotranspiration. It is also important for farm management purposes, since it can be used to ...
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Canopy architecture assessment of cherry trees by cover photography based on variable light extinction coefficient modelled using artificial neural networks
; ; Carrasco-Benavides, Marcos; Mora, Marco (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 ...
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Conditioning of extreme learning machine for noisy data using heuristic optimization
; Mora, Marco; ; (2020)
This article provides a tool that can be used in the exact sciences to obtain good approximations to reality when noisy data is inevitable. Two heuristic optimization algorithms are implemented: Simulated Annealing and ...
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Contour detection in images with speckle by using the bi-geometric structure
; ; Mora, Marco (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 ...
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Convolutional neural networks for off-line writer identification based on simple graphemes
Mora, Marco; ; (2020)
The writer’s identification/verification problem has traditionally been solved by analyzing complex biometric sources (text pages, paragraphs, words, signatures, etc.). This implies the need for pre-processing techniques, ...
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Dynamic PET image denoising
; ; Barrientos, Ricardo; Mora, Marco ; ; (2018)
Dynamic Positron Emission Tomography (dPET) images are inherently affected by noise and low spatial resolution. The problems aforementioned may lead to incorrect estimation of the uptake of the tracer in tissues. In this ...
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Efficient exploitation of the Xeon Phi architecture for the Ant Colony Optimization (ACO) metaheuristic
; Barrientos, Ricardo; Mora, Marco ; (2017)
In recent years, the use of compute-intensive coprocessors has been widely studied in the field of Parallel Computing to accelerate sequential processes through a Graphic Processing Unit (GPU). Intel has recently released ...
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Extreme learning machine adapted to noise based on optimization algorithms
; Mora, Marco; ; (2020)
The extreme learning machine for neural networks of feedforward of a single hidden layer randomly assigns the weights of entry and analytically determines the weights the output by means the Moore-Penrose inverse, this ...
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Fast finger vein recognition based on sparse matching algorithm under a multicore platform for real-time individuals identification
; Barrientos, Ricardo; ; ; Mora, Marco ; ; (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 ...
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Grape maturity estimation based on seed images and neural networks
; Mora, Marco; ; Fredes, Claudio (2014)
The grape phenolic maturity is one of the most important parameters to determine the optimal time for harvest. In this paper we propose an innovative methodology for the problem of how this task is performed today. In ...