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Multi-scale gray level co-occurrence matrices for texture description
(Elsevier Science BvAmsterdamHolanda, 2013)
Paralelizacion sobre una Arquitectura CUDA de un Algoritmo GLCM para el Análisis de Imagenes Hiperespectrales
(Universidad de Talca (Chile). Escuela de Ingeniería Civil en Computación., 2014)
Predicting Vascular Plant Richness in a Heterogeneous Wetland Using Spectral and Textural Features and a Random Forest Algorithm
(IEEE-Inst Electrical Electronics Engineers, 2016)
A method to predict vascular plant richness using spectral and textural variables in a heterogeneous wetland is presented. Plant richness was measured at 44 sampling plots in a 16-ha anthropogenic peatland. Several spectral ...
Audio-Visual Automatic Speech Recognition Towards Education for Disabilities
Education is a fundamental right that enriches everyone’s life. However, physically challenged people often debar from the general and advanced education system. Audio-Visual Automatic Speech Recognition (AV-ASR) based ...
Image texture analysis and gas sensor array studies applied to vanilla encapsulation by octenyl succinic anhydride starches
(Canadian Center of Science and Education, 2013-02)
Native starch derivatization with octenyl succinic anhydride (OSA) is a chemical modification designed to enhance flavor microencapsulation performance. Hi Cap 100 and Capsul are two OSA starches derived from waxy maize ...
Epithelial Ovarian Cancer Diagnosis of SecondHarmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol
(SAGE Publications, 2017-02)
A vast number of human pathologic conditions are directly or indirectly related to tissular collagen structure remodeling. The nonlinear optical microscopy second-harmonic generation has become a powerful tool for imaging ...
Epithelial Ovarian Cancer Diagnosis Of Second-harmonic Generation Images: A Semiautomatic Collagen Fibers Quantification Protocol
(SAGE Publications LtdLondon, 2017)
Land-cover classification using freely available multitemporal sar data (work in progress)
(Copernicus Publications, 2021-08-19)
Synthetic Aperture Radar (SAR) images are a valuable tool for wetlands monitoring since they are able to detect water below the vegetation. Furthermore, SAR images can be acquired regardless of the weather conditions. The ...