Open AccessImplementation of image processing techniques as a tool for form analysis of Romanian folk elements
Author(s) -
Liliana Indrie,
Zlatin Zlatev,
Dorina Camelia Ilieș,
Amalia Sturza,
Mihaela Dochia,
Maria Gozner,
Grigore Vasile Herman,
Tudor Caciora
Publication year - 2020
Publication title -
industria textilă
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.281
H-Index - 14
ISSN - 1222-5347
DOI - 10.35530/it.071.05.1690
Subject(s) - romanian , vectorization (mathematics) , principal component analysis , software , computer science , function (biology) , artificial intelligence , image processing , computer vision , image (mathematics) , linguistics , philosophy , biology , evolutionary biology , parallel computing , programming language
The present paper proposes a method for an effective analysis of Romanian folk motifs using two basic algorithms –Radius-Vector function (RV) and Principal Component Analysis (PCA). For a better accuracy of the analysis, acombination of these methods has been proposed. The authors selected few Romanian folk motifs (embroidered onblouses, skirts called “poale”, front aprons called “zadii”, sleeveless vest) from Bihor, Arad, and Maramures Counties.The vectorization of traditional motifs was made by GIS software.