An efficient ant-based edge detector

Küçük Resim Yok

Tarih

2010

Yazarlar

Dergi Başlığı

Dergi ISSN

Cilt Başlığı

Yayıncı

Erişim Hakkı

info:eu-repo/semantics/closedAccess

Özet

An efficient ant-based edge detector is presented. It is based on the distribution of ants on an image, ants try to find possible edges by using a state transition function based on 5x5 edge structures. Visual comparisons show that the proposed method gives finer details and thinner edges at lesser computational times when compared to earlier ant-based approaches. When compared to standard edge detectors, it shows robustness to Gaussian and Salt & Pepper noise and provides finer details than others with same parameter set in both clear and noisy images. © 2010 Springer-Verlag Berlin Heidelberg.

Açıklama

1st International Conference on Computational Collective Intelligence: Semantic Web, Social Networks and Multiagent Systems, ICCCI 2009 -- 5 October 2009 through 7 October 2009 -- Wroclaw -- 82033

Anahtar Kelimeler

ant colony optimization, ant-based algorithm, Edge detection, noisy images

Kaynak

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

WoS Q Değeri

Scopus Q Değeri

Q3

Cilt

6220 LNCS

Sayı

Künye