DocumentCode :
714636
Title :
Classification of fish species with two dorsal fins using centroid-contour distance
Author :
Iscimen, Bilal ; Kutlu, Yakup ; Uyan, Ali ; Turan, Cemal
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Mustafa Kemal Univ., Hatay, Turkey
fYear :
2015
fDate :
16-19 May 2015
Firstpage :
1981
Lastpage :
1984
Abstract :
Color, texture and shape are generally used features in order to recognise an object from an image. In this study centroid-contour distance method is used in order to classify fish species with two dorsal fins. Therefore, fish images with two dorsal fins were used from fish images database taken under specific conditions. Various image processing methods were applied on images in order to extract centroid-contour distances. These distances were used as features and Nearest Neighbour algorithm was used for classification. 15 species from 427 fish images were classified with 95% general accuracy achievement.
Keywords :
image classification; image colour analysis; image texture; object recognition; zoology; centroid-contour distance method; dorsal fins; fish species classification; image color; image processing methods; image texture; nearest neighbour algorithm; object recognition; Image color analysis; Image recognition; Image retrieval; Marine animals; Shape; centroid-contour distance; fish species classification;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
Type :
conf
DOI :
10.1109/SIU.2015.7130252
Filename :
7130252
Link To Document :
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