Title :
Adaptive Vision Studio — Educational tool for image processing learning
Author :
Krystian Radlak;Mariusz Frackiewicz;Marek Szczepanski;Michal Kawulok;Michal Czardybon
Author_Institution :
Faculty of Automatic Control, Electronics and Informatics, Silesian University of Technology, Gliwice, Poland
Abstract :
In this paper, we present Adaptive Vision Studio (AVS) - a novel tool for creating image processing and analysis algorithms. AVS has been applied in post-graduate computer vision course for students of Automatic Control and Biotechnology at Silesian University of Technology. This software is a powerful environment with ready-for-use image analysis filters for computer vision experts as well as for engineers, who are beginners in this field. AVS has been published as a freeware version for noncommercial and educational purposes recommended for students and engineers, who want to learn how to develop complex image processing algorithms. Lite version of AVS is freely available at https://adaptive-vision.com.
Keywords :
"Software","Image color analysis","Machine vision","Algorithm design and analysis","Image analysis","Programming"
Conference_Titel :
Frontiers in Education Conference (FIE), 2015. 32614 2015. IEEE
Print_ISBN :
978-1-4799-8454-1
DOI :
10.1109/FIE.2015.7344309