The Computer Vision Laboratory at the Polytechnic University of Tulancingo (UPT) is dedicated to the research and development of advanced technologies in the field of image processing and computer vision. Through a combination of computational theories and machine learning methods, our laboratory aims to innovate in applications such as medical image analysis, pattern recognition systems, satellite image analysis, and others.
Medical Computer Vision: Analysis of medical images, including thermography, fundus imaging, and more, for computer-aided diagnosis.
Pattern Recognition: Development of algorithms to recognize complex patterns in images and videos, applied to areas such as biometrics and security.
Artificial Intelligence and Machine Learning: Implementation of neural networks and deep learning techniques for image processing and classification, including advanced techniques such as convolutional neural networks (CNNs).
Satellite Image Analysis: Computer vision solutions for remote sensing image analysis, for natural resource quantification, and urban growth analysis.
Medical Diagnosis with Thermal Imaging: Research on the use of thermograms in the early detection of breast cancer using thermal imaging and neural networks.
Our team is comprised of academics and graduate students committed to research excellence. Each member contributes expertise in key areas such as image processing, artificial intelligence, and embedded systems.
Laboratory Director:
PhD. Carina Toxqui Quitl, Research Professor at UPT, with a solid track record in digital image processing and pattern recognition.
Principal Investigators:
PhD. Alfonso Padilla Vivanco.
PhD. Raúl Castro Ortega.
MSc. Aldo Alberto Aguilar Vallejo
MSc. Armando Aníbal Delgadillo Jiménez
The laboratory actively collaborates with various academic institutions and companies in the technology sector, fostering applied research and knowledge transfer. Some of our collaborations include:
SPIE (Society of Photo-Optical Instrumentation Engineers)