Classification of Serranidae Species Using Color Based Statistical Features

Year 2017, Volume: 2 Issue: 1, 25 - 34, 08.02.2017

Bilal İşçimen Yakup Kutlu , Cemal Turan

https://doi.org/10.28978/nesciences.292352

Cited By: 2

Abstract

In this study 6 species of Serranidae family (Epinephelus aeneus, Epinephelus caninus,
Epinephelus costae, Epinephelus marginatus, Hyporthodus haifensis, Mycteroperca rubra)
were classified by using a color based feature extraction method. A database which consists of
112 fish images was used in this study. In each image, a fish was located on a white
background floor with the same position and the images were taken from different distances.
A combination of manual processes and automatic algorithms were applied on images until
obtaining colored fish sample images with a black background. Since the presented color
based feature extraction method avoids including background, these images were processed
by using an automatic algorithm in order to obtain a solid texture image from the fish and
extract features. The obtained solid texture image was in HSV color space and used due to
extract species-specific information from the fish samples. Each of the hue, saturation and
value components of the HSV color space was used separately in order to extract 7 statistical
features. Hence, totally 21 features were extracted for each fish sample. The extracted features
were used within Nearest Neighbor algorithm and 112 fish samples from the 6 species were
classified with an overall accuracy achievement of 86%.

Keywords

Classification, Serranidae family, HSV, color, texture

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