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Please use this identifier to cite or link to this item: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/39417

Title: Species identification of fish shoals from echograms by an echo-signal image processing system
Authors: H.J Lu;K.T Lee
Contributors: 國立臺灣海洋大學:環境生物與漁業科學學系
Keywords: Species composition;Acoustics
Date: 1995-09
Issue Date: 2016-12-12T01:25:25Z
Publisher: Fisheries Research
Abstract: Abstract:Echograms of 229 fish shoals, including 35 skipjack, 43 round scad, 49 horse mackerel, 60 anchovy and 42 larval fish, were collected in the coastal waters of northeast Taiwan from 1991 to 1993. Using these data, the echo-signal image processing system (EIPS) was developed for species identification of echograms of fish shoals. The system consisted of programs for digital image transformation, digital image processing, measurement and computation of shoal descriptors, and discriminant functions for species identification. Also, principal component analysis, variable clustering analysis and stepwise discriminant analysis were conducted to determine the relationships among the descriptors. The important shoal descriptors for species identification were those related to external structure of the shoals (area, perimeter, height, width, axis length, circularity, rectangularity and number of pixels) and to internal structure of the shoals (mean value, standard deviation, skewness and curtosis of signal amplitude). The former explained more variances than the latter. The accuracy of species identification by the system was 98% for round scad, 97% for anchovy, 94% for skipjack, 91% for larval fish, and 67% for horse mackerel.
Relation: 24(2), pp.99-111
URI: http://ntour.ntou.edu.tw:8080/ir/handle/987654321/39417
Appears in Collections:[環境生物與漁業科學學系] 期刊論文

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