Miguel Carrasco

Facultad de Ingeniería y Ciencias

Ejercito 441

Santiago, Chile

I’m an Information Techonology Engineer and I hold a Master’s degree in Computer Engineering, approved with highest distinction from the University of Santiago de Chile in 2004. I’m obtained a doctorate in Engineering Sciences, with a mention in Computing, from the Department of Computer Science at the Pontifical Catholic University of Chile and a Doctorate in Computer Science from the Institut des Systemes Intelligents et de Robotique (ISIR) at the Pierre et Marie Curie University - Paris VI (France), both degrees obtained with highest distinction in 2010. I’m particularly interested in the development of automatic algorithms based on image processing theory and computer vision. My main research topics are: i) image processing, ii) computer vision for industrial inspection, iii) Industrial Internet of Things (IIoT), and iv) fault prediction based on pattern recognition.

Currently, I’m an Associate Professor of the School of Information and Telecommunication Engineering at the Faculty of Engineering and Sciences at Universidad Diego Portales (UDP), Chile

Keywords: Image processing, Computer vision, Human-Computer Interaction

news

Oct 14, 2024	paper published on electronics
Jun 28, 2024	This is my new webpage in github

selected publications

Level of Agreement between Emotions Generated by Artificial Intelligence and Human Evaluation: A Methodological Proposal

M. Carrasco, C. González-Martín, S. Navajas-Torrente, and R. Dastres

Electronics, 2024

Bib PDF

@article{carrasco2024emotion,
  title = {Level of Agreement between Emotions Generated by Artificial Intelligence and Human Evaluation: A Methodological Proposal},
  author = {Carrasco, M. and González-Martín, C. and Navajas-Torrente, S. and Dastres, R.},
  journal = {Electronics},
  year = {2024},
  doi = {10.3390/electronics13204014},
  google_scholar_id = {3s1wT3WcHBgC}
}

Detection of Emotions in Artworks Using a Convolutional Neural Network Trained on Non-Artistic Images: A Methodology to Reduce the Cross-Depiction Problem

C. González-Martín, M. Carrasco, and T. G. Wachter Wielandt

Empirical Studies of the Arts, 2024

Bib PDF

@article{gonzalez2024detection,
  title = {Detection of Emotions in Artworks Using a Convolutional Neural Network Trained on Non-Artistic Images: A Methodology to Reduce the Cross-Depiction Problem},
  author = {González-Martín, C. and Carrasco, M. and Wachter Wielandt, T. G.},
  journal = {Empirical Studies of the Arts},
  year = {2024},
  doi = {10.1177/02762374231163481},
  google_scholar_id = {pqnbT2bcN3wC}
}

Analysis of the Use of Color and Its Emotional Relationship in Visual Creations Based on Experiences during the Context of the COVID-19 Pandemic

C. González-Martín, M. Carrasco, and G. Oviedo

Sustainability, 2022

Bib PDF

@article{gonzalez2022analysis,
  title = {Analysis of the Use of Color and Its Emotional Relationship in Visual Creations Based on Experiences during the Context of the COVID-19 Pandemic},
  author = {González-Martín, C. and Carrasco, M. and Oviedo, G.},
  journal = {Sustainability},
  volume = {14},
  number = {20},
  pages = {12989},
  year = {2022},
  doi = {10.3390/su142012989},
  google_scholar_id = {g5m5HwL7SMYC}
}

Image-Based Automated Width Measurement of Surface Cracking

M. Carrasco, G. Araya-Letelier, R. Velázquez, and P. Visconti

Sensors, 2021

Bib PDF Video

@article{carrasco2021image,
  title = {Image-Based Automated Width Measurement of Surface Cracking},
  author = {Carrasco, M. and Araya-Letelier, G. and Velázquez, R. and Visconti, P.},
  journal = {Sensors},
  volume = {21},
  number = {22},
  pages = {7534},
  year = {2021},
  doi = {10.3390/s21227534},
  google_scholar_id = {M3NEmzRMIkIC},
}

Macromolecule Particle Picking and Segmentation of a KLH Database by Unsupervised Cryo-EM Image Processing

M. Carrasco, P. Toledo, and N.D. Tischler

Biomolecules, 2019

Bib PDF

@article{carrasco2019macromolecule,
  title = {Macromolecule Particle Picking and Segmentation of a KLH Database by Unsupervised Cryo-EM Image Processing},
  author = {Carrasco, M. and Toledo, P. and Tischler, N.D.},
  journal = {Biomolecules},
  volume = {9},
  number = {12},
  pages = {809},
  year = {2019},
  doi = {10.3390/biom9120809},
}

Evaluation of an eye-pointer interaction device: a solution for disabled people?

E. Caceres, M. Carrasco, and S. Ríos

Heliyon, 2018

Bib PDF

@article{caceres2018evaluation,
  title = {Evaluation of an eye-pointer interaction device: a solution for disabled people?},
  author = {Caceres, E. and Carrasco, M. and Ríos, S.},
  journal = {Heliyon},
  volume = {4},
  number = {3},
  pages = {e00574},
  year = {2018},
  doi = {10.1016/j.heliyon.2018.e00574},
  google_scholar_id = {9ZlFYXVOiuMC},
}

GDXray: The Database of X-ray Images for Nondestructive Testing

D. Mery, V. Riffo, U. Zcherpel, G. Mondragon, I. Lillo, I. Zuccar, H. Lobel, and M. Carrasco

Journal of Nondestructive Evaluation, 2015

Bib PDF

@article{mery2015gdxray,
  title = {GDXray: The Database of X-ray Images for Nondestructive Testing},
  author = {Mery, D. and Riffo, V. and Zcherpel, U. and Mondragon, G. and Lillo, I. and Zuccar, I. and Lobel, H. and Carrasco, M.},
  journal = {Journal of Nondestructive Evaluation},
  volume = {34},
  pages = {42},
  year = {2015},
  doi = {10.1007/s10921-015-0315-7},
  google_scholar_id = {hFOr9nPyWt4C}
}

Exploiting eye-hand coordination to detect grasping movements

M. Carrasco, and X. Clady

Image and Vision Computing, 2012

Bib PDF

@article{carrasco2012exploiting,
  title = {Exploiting eye-hand coordination to detect grasping movements},
  author = {Carrasco, M. and Clady, X.},
  journal = {Image and Vision Computing},
  volume = {30},
  pages = {860--874},
  year = {2012},
  doi = {10.1016/j.imavis.2012.07.001},
  google_scholar_id = {LkGwnXOMwfcC}
}