Title :
Image analysis methods on fish recognition
Author :
Iscimen, Bilal ; Kutlu, Y. ; Reyhaniye, Asil Nadir ; Turan, C.
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Mustafa Kemal Univ., Hatay, Turkey
Abstract :
The aim of study is creating a new database which contains fish species and classifying 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 classifications 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.
Keywords :
biology computing; feature extraction; image classification; Euclidean network technique; Naive Bayesian classifier; Turkey; biometric measurement techniques; biometric points; classifications system; feature set; fish database; fish photos; fish recognition; fish species classification; image analysis methods; quadratic network technique; triangulation technique; Bayes methods; Conferences; Marine animals; Shape; Signal processing; Support vector machines; biometric mesurement techniques; fish recognition;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location :
Trabzon
DOI :
10.1109/SIU.2014.6830503