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ETCM 2021 - 5th Ecuador Technical Chapters Meeting(3)
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Automatic Design of Ensembles of Window Operators for Ocular Image Segmentation
ArticleAbstract: W-operators are a nonlinear class of locally defined and translation invariant image operators. A W-Palabras claves:classification, Ensemble of Classifiers, IMAGE PROCESSING, mathematical morphology, Neural networks, Ocular Images, segmentation, wavelet transformAutores:Ballarin V.L., Brun M., Hidalgo R., Marco E. BenalcázarFuentes:scopusAutomatic design of aperture filters using neural networks applied to ocular image segmentation
Conference ObjectAbstract: Aperture filters are image operators which combine mathematical morphology and pattern recognition tPalabras claves:Aperture filters, Ensemble of Classifiers, IMAGE PROCESSING, mathematical morphology, Neural networks, pattern recognitionAutores:Ballarin V.L., Brun M., Marco E. BenalcázarFuentes:googlescopusAutomatic design of binary W-operators using artificial feed-forward neural networks based on the weighted mean square error cost function
Conference ObjectAbstract: One of the main issues concerning automatic design of W-operators is the one of generalization. ConsPalabras claves:Artificial Neural Network, Nonlinear regression, pattern recognition, pyramidal multiresolution, W-operators, weighted mean square errorAutores:Ballarin V.L., Brun M., Marco E. Benalcázar, Meschino G., Passoni I., Pra L.Fuentes:googlescopusAutomatic segmentation of exudates in ocular images using ensembles of aperture filters and logistic regression
Conference ObjectAbstract: Hard and soft exudates are the main signs of diabetic macular edema (DME). The segmentation of bothPalabras claves:Autores:Ballarin V.L., Brun M., Marco E. BenalcázarFuentes:googlescopus2D semantic segmentation of the prostate gland in magnetic resonance images using convolutional neural networks
Conference ObjectAbstract: Convolutional Neural Networks is one of the most commonly used methods for automatic prostate segmenPalabras claves:Central Gland, convolutional neural networks, Encoder-Classifier, Encoder-Decoder, MRIs, NCI-ISBI 2013, Peripheral Zone, Prostate Segmentation, U-net, VGG16Autores:Marco E. Benalcázar, Silvia P. VacacelaFuentes:googlescopusA New Methodology for Pattern Recognition Applied to Hand Gestures Recognition Using EMG. Analysis of Intrapersonal and Interpersonal Variability
Conference ObjectAbstract: Systems used for pattern recognition are usually divided into 4 stages: signal acquisition, preprocePalabras claves:EMG, Hand gesture recognition, intrapersonal and interpersonal variability, pattern recognitionAutores:Ángel Leonardo Valdivieso Caraguay, Javier Alejandro Ordóñez Flores, Juan Pablo Vasconez, Lorena Isabel Barona López, Marco E. Benalcázar, Patricio Javier Cruz Davalos, Robin Gerardo Alvarez RuedaFuentes:googlescopusA Survey on Hand Gesture Recognition Using Machine Learning and Infrared Information
Conference ObjectAbstract: The research consists in the hand gestures are movements that convey information and thus complementPalabras claves:Hand gesture recognition, Infrared information, Machine learning, Survey, Systematic literature reviewAutores:Marco E. Benalcázar, Rubén NogalesFuentes:googlescopusA comparison of EMG-based hand gesture recognition systems based on supervised and reinforcement learning
ArticleAbstract: Hand gesture recognition (HGR) based on electromyography signals (EMGs) has been one of the most relPalabras claves:convolutional neural networks, Electromyography, EMG, Hand gesture recognition, reinforcement learning, Supervised learningAutores:Ángel Leonardo Valdivieso Caraguay, Juan Pablo Vasconez, Lorena Isabel Barona López, Marco E. BenalcázarFuentes:googlescopusA user-specific hand gesture recognition model based on feed-forward neural networks, emgs, and correction of sensor orientation
ArticleAbstract: Hand gesture recognition systems have several applications including medicine and engineering. A gesPalabras claves:classification, Correction of rotation of EMG sensors, Electromyography, EMG, Feed-forward neural network, Hand gesture recognitionAutores:Ángel Leonardo Valdivieso Caraguay, Lorena Isabel Barona López, Marco E. BenalcázarFuentes:googlescopusConstruction of a Dataset for Static and Dynamic Hand Tracking Using a Non-invasive Environment
Conference ObjectAbstract: The research consists of hand gesture recognition using a commercial sensor called Leap Motion ContrPalabras claves:Acquisition system, Hand gesture recognition, Non-invasive monitoringAutores:Alexis Palate, Bryan Toalumbo, Javier Vargas, Marco E. Benalcázar, Ronnie Martinez, Rubén NogalesFuentes:googlescopus