Title:
Teaching Image Processing in Engineering Using Python [Descargar]Autores/as:
Jiménez López, Andrés Fernando and Prieto Pelayo, Marla Carolina and Ramírez Forero, Ángela
Términos Índice:
Image processing;Software;Software algorithms;Fingerprint recognition;Education;IP networks;Algorithm design and analysis;Engineering;image processing;learning;project;software
Resumen:
This paper describes the experience during the execution of a project that applied the project-based learning (PBL) methodology for teaching an undergraduate course on image processing at the Universidad de los Llanos. During this project, the learners, the students of electronics engineering and computer science, were able to complement their lectures, process and manipulate images, and build their own image processing tools using Python programming language. This paper shows students' projects resulting from the application of key concepts of image processing and pattern analysis supported by the PBL methodology.
DOI:
Cómo citar:
Jiménez López, Andrés Fernando and Prieto Pelayo, Marla Carolina and Ramírez Forero, Ángela, "Teaching Image Processing in Engineering Using Python" in IEEE Revista Iberoamericana de Tecnologias del Aprendizaje, pp. 129-136, Aug. 2016. doi: 10.1109/RITA.2016.2589479