Computational hybrid phase shifting technique applied to digital photoelasticity JC Briñez, AR Martínez, JW Branch Optik 157, 287-297, 2018 | 46 | 2018 |
Computational analysis of Bayer colour filter arrays and demosaicking algorithms in digital photoelasticity JC Briñez-de León, A Restrepo-Martínez, JW Branch-Bedoya Optics and Lasers in Engineering 122, 195-208, 2019 | 38 | 2019 |
Análisis de resolución en imágenes de fotoelasticidad: caso carga dinámica JCB de León, HAF Toro, AR Martínez, JWB Bedoya Visión electrónica 11 (1), 69-75, 2017 | 20 | 2017 |
PhotoelastNet: a deep convolutional neural network for evaluating the stress field by using a single color photoelasticity image JC Briñez-de León, M Rico-García, A Restrepo-Martínez Applied Optics 61 (7), D50-D62, 2022 | 17 | 2022 |
Estudios de fotoelasticidad: desarrollos y aplicaciones JC Briñez de León, A Restrepo-Martínez, F Giraldo López REVISTA POLITÉCNICA 9 (16), 27-36, 2015 | 16* | 2015 |
Automatic waste classification using computer vision as an application in colombian high schools BLJ Carlos, R Alejandro, E Manuel IET Digital Library, 2015 | 16 | 2015 |
Estudios de fotoelasticidad: desarrollos y aplicaciones JCB de León, AR Martínez, FL Giraldo Revista politécnica 9 (16), 27-36, 2013 | 16 | 2013 |
High stress concentration analysis using RGB intensity changes in dynamic photoelasticity videos JCB de León, AR Martínez, JWB Bedoya 2016 XXI Symposium on Signal Processing, Images and Artificial Vision …, 2016 | 15 | 2016 |
Métricas de similitud aplicadas para análisis de imágenes de fotoelasticidad JC Briñez de León, A Restrepo Martínez, FE López Giraldo Dyna 80 (179), 42-50, 2013 | 15 | 2013 |
Toward photoelastic sensors: a hybrid proposal for imaging the stress field through load stepping methods JC Briñez-de León, JW Branch, A Restrepo-M Computational Optical Sensing and Imaging, CTh3C. 4, 2020 | 13 | 2020 |
Computational analysis of stress map variations by industrial light sources and load additions in digital photoelasticity JCB de León, HA Fandiño, A Restrepo, JW Branch Optics and Photonics for Information Processing XII 10751, 91-103, 2018 | 11 | 2018 |
Fringe patterns recognition in digital photoelasticity images using texture features and multispectral wavelength analysis H Fandiño Toro, J Briñez De León, A Restrepo Martinez, ... Optical Engineering 57 (9), 093105-093105, 2018 | 11 | 2018 |
Time-space analysis in photoelasticity images using recurrent neural networks to detect zones with stress concentration JCB de León, A Restrepo, JW Branch Applications of Digital Image Processing XXXIX 9971, 788-797, 2016 | 9 | 2016 |
Validación del uso de fotoelasticidad como herramienta para los cursos de Mecánica de Sólidos JC Urango Pérez, GC Motta, JC Briñez de León, A Restrepo-Martínez Revista EIA 14 (28), 117-131, 2017 | 8 | 2017 |
Propofol for procedural anaesthesia during laser treatment of retinopathy of prematurity in the Neonatal Intensive Care Unit (NICU) JA Gutiérrez-Padilla, JC Barrera-De León, A Meza-Anguiano, ... J. Neonatal. Biol 4 (3), 2167-0897.1000180, 2015 | 7 | 2015 |
Isochromatic-art: a computational dataset for evaluating the stress distribution of loaded bodies by digital photoelasticity JC Brinez-de León, M Rico-Garcıa, A Restrepo-Martınez, JW Branch Mendeley Data, V4, 2020 | 6 | 2020 |
Fast fourier transform as color variation descriptor for imaging the stress field from photoelasticity videos JCB de León, AR Martínez, JWB Bedoya Propagation Through and Characterization of Atmospheric and Oceanic …, 2019 | 6 | 2019 |
StressNet: A deep convolutional neural network for recovering the stress field from isochromatic images JCB de León, M Rico-Garcia, JW Branch, A Restrepo-M Applications of Digital Image Processing XLIII 11510, 126-137, 2020 | 5 | 2020 |
Thermal transient stepping: a powerful thermal-based approach for evaluating the stress field by using digital photoelasticity H Fandiño-Toro, J Rendón-Arango, J Briñez-de León, ... Optics and Photonics for Information Processing XIV 11509, 56-66, 2020 | 5 | 2020 |
Texture analysis for evaluating the Bayer and demosaicking effects in photoelasticity images H Fandiño-Toro, JB de León, A Restrepo-Martı́nez, JW Branch-bedoya Computational Optical Sensing and Imaging, pp. JW2A–50, Optical Society of …, 2019 | 5 | 2019 |