AN AUTOMATIC FISH COUNTING AND SIZE ANALYSIS SYSTEM USING MACHINE VISION
Date Issued
2006-03
Date
2006-03
Author(s)
DOI
20060927122951289788
Abstract
The survival and growth information of cultured fish is vital to fish culturists for
making efficient and timely management decisions. However, apart from current net
harvesting method which is largely carried out only at the beginning and end of a
cultural season due to high labor requirements and induced fish stress, there is no
efficient way to collect fish growth information for the entire stock during the regular
growing season. This paper presents a new technique using machine vision to obtain
survival and weight distribution data with low labor cost and induced fish stress.
Operated by one person, the technique is currently designed to be best used for
raceway culture, although it has the potential to apply to wider situations. A movable
underwater platform is placed in the raceway so that when fish swim through the
shallow water on the platform, low overlapping fish images could be continuously
collected by a camcorder and later analyzed automatically in the laboratory to obtain
fish number and w eight. The Fish Counting and Analysis System (FCAS) software
developed by this research performs a series of image pretreatment operations and
could get rid of repeated fish images in consecutive frames by establishing a detection
line in the image window and an appropriate image processing algorithm. Four
verification experiments were conducted with an average accuracy in fish numbers
of 95.7%. The average accuracy for weight estimation was 93.5%.Weight distribution
analysis results also corresponded well with manually collected data. The new
technique could provide fish culturists with important growth information as a basis
for decision support.
Subjects
Machine vision
Fish counting
Raceways
Publisher
臺北市:國立臺灣大學生物產業機電工程學系
Type
journal article
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