Identification of fish species based on image processing and statistical analysis research

L Li, J Hong - 2014 IEEE International Conference on …, 2014 - ieeexplore.ieee.org
For more fish varieties, to the subsequent processing and marketing, which is necessary to
classify the types of fish. This study is based on image processing technology to classify the …

[PDF][PDF] Fish recognition based on robust features extraction from size and shape measurements using neural network

MK Alsmadi, KB Omar, SA Noah… - Journal of Computer …, 2010 - Citeseer
Problem statement: Image recognition is a challenging problem researchers had been
research into this area for so long especially in the recent years, due to distortion, noise …

Tuna fish classification using decision tree algorithm and image processing method

WN Khotimah, AZ Arifin, A Yuniarti… - … , Informatics and its …, 2015 - ieeexplore.ieee.org
Fishery has contributed a lot to Indonesian economy development such as domestic
industries, micro industries, and export industries. Tuna is one of the fishery product. To …

[PDF][PDF] Fish recognition based on robust features extraction from color texture measurements using back-propagation classifier

MK Alsmadi, KB Omar, SA Noah… - Journal of Theoritical and …, 2010 - jatit.org
Problem statement: image recognition is a challenging problem researchers had been
research into this area for so long especially in the recent years, due to distortion, noise …

A tank fish recognition and tracking system using computer vision techniques

JH Lee, MY Wu, ZC Guo - 2010 3rd International Conference …, 2010 - ieeexplore.ieee.org
Aquarium usually provides the visitors with pictures and some description of the fishes in the
exhibition tank. In this paper, an intelligent fish recognition system using computer vision is …

Fish freshness classification method based on fish image using k-Nearest Neighbor

NMS Iswari - 2017 4th international conference on new …, 2017 - ieeexplore.ieee.org
The potential of fish production in Indonesia is very high because of the Indonesia territory
which consists of waters (sea, lake, river, and pond). However, fish consumption in the …

Integration GLCM and geometric feature extraction of region of interest for classifying tuna

WA Saputra, D Herumurti - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Image of tuna as bigeye, skipjack and yellowfin have very high color similarity, but in the
texture and shape can be differentiated. It requires a method to perform feature extraction of …

Koi fish classification based on HSV color space

DSY Kartika, D Herumurti - 2016 International Conference on …, 2016 - ieeexplore.ieee.org
Digital image processing is still a great demand for research. Research related to digital
image processing can be components of color, texture and pattern. This study focuses on …

[PDF][PDF] Fish classification based on robust features extraction from color signature using back-propagation classifier

MK Alsmadi, KB Omar, SAM Noah - Journal of Computer Science, 2011 - Citeseer
Problem statement: Image recognition was a challenging problem researchers had been
research into this area for so long especially in the recent years, due to distortion, noise …

Fish recognition based on the combination between robust feature selection, image segmentation and geometrical parameter techniques using Artificial Neural …

MKS Alsmadi, KB Omar, SA Noah… - arXiv preprint arXiv …, 2009 - arxiv.org
We presents in this paper a novel fish classification methodology based on a combination
between robust feature selection, image segmentation and geometrical parameter …