Matematika és Informatika Tanszék

Takáč

Ondrej

Molnár András, Várkonyiné Kóczy Annamária, Tusor Balázs, Gubo Štefan

Shape Recognition in Drone Images Using Simplified Fuzzy Indexing Tables

IEEE 18th World Symposium on Applied Machine Intelligence and Informatics (SAMI 2020)

Technická univerzita, Košice - Óbuda University, Budapest

Herľany

Szlovákia

2020.01.23.

2020.01.25.

In recent years, aerial drone photography has been rising in popularity not only as a civilian hobby and a cinematographic technique, but also in various engineering tasks as well. Shape recognition is a useful tool for many engineering tasks, such as structure inspection, traffic observation, etc. In this paper, a new shape recognition technique is proposed for recognizing shapes by their contours that can be used to quickly process images taken by drones. The image is first segmented into regions, then the contours are analyzed, and shape descriptors are built, which are used as inputs for the classifier. For pattern recognition, Simplified Sequential Fuzzy Indexing Tables are used in order to provide a very fast and robust inference.