Image analysis methods on Fish recognition Balik taninmasinda görüntü analiz yöntemleri

İŞÇİMEN B., Kutlu Y., Reyhaniye A. N., Turan C.

2014 22nd Signal Processing and Communications Applications Conference, SIU 2014, Trabzon, Turkey, 23 - 25 April 2014, pp.1411-1414, (Full Text) identifier

  • Publication Type: Conference Paper / Full Text
  • Doi Number: 10.1109/siu.2014.6830503
  • City: Trabzon
  • Country: Turkey
  • Page Numbers: pp.1411-1414
  • Keywords: biometric mesurement techniques, fish recognition
  • Hatay Mustafa Kemal University Affiliated: Yes

Abstract

The aim of study is creating a new database which contains fish species and classifing this fish species. A new fish database was created by using the fish photos in seas of Turkey. The new feature set are obtained by marking the biometric points on fish to identify family and species of fishes. The features were obtained by using the three different biometric measurement techniques (Euclidean network technique, quadratic network technique, triangulation technique). A classificatios system was created by using Naive Bayesian classifier. The obtained accuracy is 93.10% for 7 families on family classification and 75.71% for 15 species on species classification. © 2014 IEEE.