RO  EN
IMI/Publicaţii/CSJM/Ediţii/CSJM v.25, n.1 (73), 2017/

Fuzzy Rule-based System for Pattern Recognition and Automated Classification

Authors: Mariana Rusu, Marius-Dan Zbancioc
Keywords: Automated sorting, border tracing algorithm, shape-signature identification, fuzzy system.

Abstract

The sorting method contains a fuzzy system that classifies waste into three classes: dangerous (toxic, flammable, harmful to the environment), recyclable and undetermined. To increase the decision weight since some waste is perilous (eg. batteries, spray bottle under pressure, oil drums, etc.), we implement a shape-signature identification algorithm.The extraction of objects contour in order to obtain the signature is done with contour tracking algorithm. The appropriate determination of contour also enables efficient calculation of shape and size – features used in fuzzy system. The elaborated system aims to detect dangerous wastes that arrive among the recyclable waste because of people ignorance.

Mariana Rusu
Technical University of Moldova
Str. Studentilor 9/7, MD-2045, Chisinau, Republic of Moldova
E-mail:

Marius-Dan Zbancioc
1. "Gheorghe Asachi" Technical University of Iasi
Romania, Iasi, 8 Bd. Carol I, and
2. Institute of Computer Science of the Romanian Academy
Romania, Iasi
E-mail:

Creative Commons License
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License




Fulltext

Adobe PDF document – 0.73 Mb