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FileDI framework for measuring fish length from digital images

Fish is an important source of protein in most coun tries in the world. The need to know the reproduction and population of fish is crucial for optimum exploitation of fish resources in maintaining the requirement of mankind in the future. In fisheries research, the length of a fish is the m...

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Main Authors: Mohd. Shafry, Mohd. Rahim, Rehman, Amjad, Kumoi, Rosely, Abdullah, Norhaida, Saba, Tanzila
Format: Article
Published: 2012
Subjects:
Q Science
Online Access:http://eprints.utm.my/id/eprint/46981/
http://dx.doi.org/10.5897/IJPS11.1581
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id my.utm.46981
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spelling my.utm.469812017-09-28T00:47:16Z http://eprints.utm.my/id/eprint/46981/ FileDI framework for measuring fish length from digital images Mohd. Shafry, Mohd. Rahim Rehman, Amjad Kumoi, Rosely Abdullah, Norhaida Saba, Tanzila Q Science Fish is an important source of protein in most coun tries in the world. The need to know the reproduction and population of fish is crucial for optimum exploitation of fish resources in maintaining the requirement of mankind in the future. In fisheries research, the length of a fish is the main parameter needed to identify fish reproduction, recruitment, growth and mortality. Current method used to acquire these length samples could be problematic as it is manually done; the fish need to be purchased in large quantities and then measuring one by one is time consuming and imprecise. The manual process may lead to overflowing cost. The fish length from digital images (FileDI) framework attempts to avoid this problem using a combination of optical theory and image processing techniques that automatically measures the length of the fish. It reduces cost, faster than previous method and yields accurate length measurement. Preliminary test has shown that the confident level of the FiLeDI framework accuracy is as high as 95% for fish length measurement. 2012 Article PeerReviewed Mohd. Shafry, Mohd. Rahim and Rehman, Amjad and Kumoi, Rosely and Abdullah, Norhaida and Saba, Tanzila (2012) FileDI framework for measuring fish length from digital images. International Journal of the Physical Sciences, 7 (4). pp. 607-618. ISSN 1992-1950 http://dx.doi.org/10.5897/IJPS11.1581
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
topic Q Science
spellingShingle Q Science
Mohd. Shafry, Mohd. Rahim
Rehman, Amjad
Kumoi, Rosely
Abdullah, Norhaida
Saba, Tanzila
FileDI framework for measuring fish length from digital images
description Fish is an important source of protein in most coun tries in the world. The need to know the reproduction and population of fish is crucial for optimum exploitation of fish resources in maintaining the requirement of mankind in the future. In fisheries research, the length of a fish is the main parameter needed to identify fish reproduction, recruitment, growth and mortality. Current method used to acquire these length samples could be problematic as it is manually done; the fish need to be purchased in large quantities and then measuring one by one is time consuming and imprecise. The manual process may lead to overflowing cost. The fish length from digital images (FileDI) framework attempts to avoid this problem using a combination of optical theory and image processing techniques that automatically measures the length of the fish. It reduces cost, faster than previous method and yields accurate length measurement. Preliminary test has shown that the confident level of the FiLeDI framework accuracy is as high as 95% for fish length measurement.
format Article
author Mohd. Shafry, Mohd. Rahim
Rehman, Amjad
Kumoi, Rosely
Abdullah, Norhaida
Saba, Tanzila
author_facet Mohd. Shafry, Mohd. Rahim
Rehman, Amjad
Kumoi, Rosely
Abdullah, Norhaida
Saba, Tanzila
author_sort Mohd. Shafry, Mohd. Rahim
title FileDI framework for measuring fish length from digital images
title_short FileDI framework for measuring fish length from digital images
title_full FileDI framework for measuring fish length from digital images
title_fullStr FileDI framework for measuring fish length from digital images
title_full_unstemmed FileDI framework for measuring fish length from digital images
title_sort filedi framework for measuring fish length from digital images
publishDate 2012
url http://eprints.utm.my/id/eprint/46981/
http://dx.doi.org/10.5897/IJPS11.1581
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score 13.211869

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