Classification of Serranide Species Using Color Based Statistical Features

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Classification of Serranide Species Using Color Based Statistical Features

Journal Title: Natural and Engineering Sciences - Year 2017, Vol 2, Issue 1

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%.

Authors and Affiliations

Bilal İşçimen, Yakup Kutlu, Cemal Turan

Keywords

Classification of Serranide Species Using Color Based Statistical Features

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EP ID EP307739
DOI 10.28978/nesciences.292352
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