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  • Mühendislik Fakültesi / Faculty of Engineering
  • Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
  • MF - Bildiri Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering
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Texture recognition for frog identification

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Date

2012-11-02

Author

Tek, Faik Boray
Cannavó, Flavio
Nunnari, Giuseppe
Kale, İzzet

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Citation

Cannavo, F., Nunnari, G., Kale, İ. & Tek, F. B. (2012). Texture recognition for frog identification. Paper presented at the MAED '12: Proceedings of the 1st ACM International Workshop on Multimedia Analysis for Ecological Data, 25-30. doi:10.1145/2390832.2390839

Abstract

This paper describes a visual processing technique for automatic frog (Xenopus Laevis sp.) localization and identification. The problem of frog identification is to process and classify an unknown frog image to determine the identity which is recorded previously on an image database. The frog skin pattern (i.e. texture) provides a unique feature for identification. Hence, the study investigates three different kind of features (i.e. Gabor filters, granulometry, threshold set compactness) to extract texture information. The classifier is built on nearest neighbor principle; it assigns the query feature to the database feature which has the minimum distance. Hence, the study investigates different distance measures and compares their performance. The detailed results show that the most successful feature and distance measure is granulometry and weighted L1 norm for the frog identification using skin texture features.

Source

MAED '12: Proceedings of the 1st ACM International Workshop on Multimedia Analysis for Ecological Data

URI

https://hdl.handle.net/11729/729
http://dx.doi.org/10.1145/2390832.2390839

Collections

  • MF - Bildiri Koleksiyonu | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering [103]
  • Scopus İndeksli Bildiri Koleksiyonu [409]

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