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Measuring fish length from digital images (FiLeDI)

Abdullah, Norhaida and Mohd Rahim, Mohd Shafry and Mat Amin, Ismail (2009) Measuring fish length from digital images (FiLeDI). In: ICIS '09 Proceedings of the 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human. ACM, USA, pp. 38-43. ISBN 978-1-60558-710-3

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Official URL: http://dx.doi.org/10.1145/1655925.1655932

Abstract

In fishery research, fish length plays a great role to identify population. However, current method can be problematic as the fish should be obtained from the fishermen first. This process may lead to time consuming and cost overflowing. Therefore, a method to measure the length of a fish automatically using image processing and formula optic is greatly needed to solve these problems. In this paper, we will discuss on the details of FiLeDI framework. The FiLeDI framework is a combination between Hsiu's method and Serkan's method. The accuracy of measuring the fish length was 99.81%.

Item Type:Book Section
Additional Information:ISBN: 978-1-60558-710-3; Conference ICIS 2009 The 2nd International Conference on Interaction Sciences: Information Technology, Culture and Human Seoul, Republic of Korea, November 24 - 26, 2009
Uncontrolled Keywords:fish length, formula optic, image processing
Subjects:Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Divisions:Computer Science and Information System (Formerly known)
ID Code:12947
Deposited By: Liza Porijo
Deposited On:07 Jul 2011 07:54
Last Modified:07 Jul 2011 07:54

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