DocumentCode
152725
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
fYear
2014
fDate
23-25 April 2014
Firstpage
1411
Lastpage
1414
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;
fLanguage
English
Publisher
ieee
Conference_Titel
Signal Processing and Communications Applications Conference (SIU), 2014 22nd
Conference_Location
Trabzon
Type
conf
DOI
10.1109/SIU.2014.6830503
Filename
6830503
Link To Document