Combining SVD and co-occurrence matrix information to recognize organic solar cells defects with a elliptical basis function network classifier

Grazia Lo Sciuto, Giacomo Capizzi, Dor Gotleyb, Sivan Linde, Rafi Shikler, Marcin Woźniak, Dawid Połap

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

This paper presents a new methodology based on elliptical basis function (EBF) networks and an innovative feature extraction technique which makes use of the co-occurrence matrices and the SVD decomposition in order to recognize organic solar cells defects. The experimental results show that our algorithm achieves an high accuracy of recognition of 96% and that the feature extraction technique proposed is very effective in the pattern recognition problems that involving the texture’s analysis. The proposed methodology can be used as a tool to optimize the fabrication process of the organic solar cells. All the tests carried out for this work were made by using the organic solar cells realized in the Optoelectronic Organic Semiconductor Devices Laboratory at Ben Gurion University of the Negev.

Original languageEnglish
Title of host publicationArtificial Intelligence and Soft Computing - 16th International Conference, ICAISC 2017, Proceedings
EditorsJacek M. Zurada, Lotfi A. Zadeh, Ryszard Tadeusiewicz, Leszek Rutkowski, Marcin Korytkowski, Rafal Scherer
PublisherSpringer Verlag
Pages518-532
Number of pages15
ISBN (Print)9783319590592
DOIs
StatePublished - 1 Jan 2017
Event16th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2017 - Zakopane, Poland
Duration: 11 Jun 201715 Jun 2017

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10246 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference16th International Conference on Artificial Intelligence and Soft Computing, ICAISC 2017
Country/TerritoryPoland
CityZakopane
Period11/06/1715/06/17

Keywords

  • Co-occurrence matrix
  • EBFs neural networks
  • Organic solar cells
  • Singular Value Decomposition

ASJC Scopus subject areas

  • Theoretical Computer Science
  • General Computer Science

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