Pregled bibliografske jedinice broj: 824688
A method for solving the multiple ellipses detection problem
A method for solving the multiple ellipses detection problem // Pattern recognition, 60 (2016), 824-834 doi:10.1016/j.patcog.2016.06.031 (međunarodna recenzija, članak, znanstveni)
CROSBI ID: 824688 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
A method for solving the multiple ellipses detection problem
Autori
Grbić, Ratko ; Grahovac, Danijel ; Scitovski, Rudolf
Izvornik
Pattern recognition (0031-3203) 60
(2016);
824-834
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
multiple ellipses detection ; RANSAC ; center-based clustering ; incremental algorithm ; DIRECT
Sažetak
In this paper, the multiple ellipses detection problem on the basis of a data points set coming from a number of ellipses in the plane not known in advance is considered. An ellipse is considered as a Mahalanobis circle with some positive definite matrix. A very efficient method for solving this problem is proposed. This method very successfully combines the well-known direct least squares method and the RANSAC algorithm with a realistic statistical model of multiple ellipses in the plane. The method is illustrated and tested on numerous synthetic and real-world applications. The method was also compared with other similar methods. In the case when a data points set comes from a number of ellipses with clear edges, the proposed method gives results similar to other known methods. However, when a data points set comes from a number of ellipses with noisy edges, the proposed method performs significantly better than the other methods. We should emphasize the advantage and utility of the proposed methods in a variety of applications such as: medical image analysis, ultrasound image segmentation, etc.
Izvorni jezik
Engleski
Znanstvena područja
Matematika
POVEZANOST RADA
Ustanove:
Sveučilište u Osijeku, Odjel za matematiku
Citiraj ovu publikaciju:
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::
- MathSciNet
- Zentrallblatt für Mathematik/Mathematical Abstracts