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Pregled bibliografske jedinice broj: 722446

Center-based clustering for line detection and application to crop rows detection


Vidović, Ivan; Scitovski, Rudolf
Center-based clustering for line detection and application to crop rows detection // Computers and electronics in agriculture, 109 (2014), 212-220 doi:10.1016/j.compag.2014.10.014 (međunarodna recenzija, članak, znanstveni)


Naslov
Center-based clustering for line detection and application to crop rows detection

Autori
Vidović, Ivan ; Scitovski, Rudolf

Izvornik
Computers and electronics in agriculture (0168-1699) 109 (2014); 212-220

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Line detection; crop rows detection; clustering; incremental method; global optimization; DIRECT

Sažetak
This paper proposes a new efficient method for line detection based on 12 known incremental methods of searching for an approximate globally optimal partition 13 of a set of data points A and on the DIRECT algorithm for global optimization. The pro14 posed method was modified for solving the problem of detecting crop rows in agricultural 15 production. This modification can recognize crop rows with a high accuracy, and the 16 corresponding CPU-time is very acceptable. The method has been tested and compared 17 on synthetic data sets with the method based on Hough transformation. The efficiency of 18 this method might be significantly improved in direct application. The proposed method 19 has been used in this paper for the case of two or three crop rows. The generalization to 20 several crop rows is also given in the paper, but was not implemented. Also, the method 21 could be expanded in case when the number of crop rows is not known in advance.

Izvorni jezik
Engleski

Znanstvena područja
Matematika, Elektrotehnika



POVEZANOST RADA


Ustanove
Fakultet elektrotehnike, računarstva i informacijskih tehnologija Osijek,
Sveučilište u Osijeku, Odjel za matematiku

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Uključenost u ostale bibliografske baze podataka:


  • AGRICOLA
  • Computer and Information Systems Abstracts
  • Geobase
  • Scopus


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