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Automated Raw-Fish Processing System Using Machine Vision

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This work describes a novel machine vision automatic raw-fish handling system that accelerates fish cleaning and weighing. The proposed weighing system uses a camera to capture fish images. The physical properties of fish, such as length, width, perimeter and area, were obtained via image processing techniques. The weight-area relationships were derived using regression analysis. Analytical results for 50 tilapia demonstrate that the R 2 of determination of the regression equation related to weight and area is 0.9303. This high value suggests that tilapia weight is strongly correlated with its area. Therefore, tilapia area can be used to estimate weight.
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Document Type: Research Article

Publication date: November 1, 2013

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  • ADVANCED SCIENCE LETTERS is an international peer-reviewed journal with a very wide-ranging coverage, consolidates research activities in all areas of (1) Physical Sciences, (2) Biological Sciences, (3) Mathematical Sciences, (4) Engineering, (5) Computer and Information Sciences, and (6) Geosciences to publish original short communications, full research papers and timely brief (mini) reviews with authors photo and biography encompassing the basic and applied research and current developments in educational aspects of these scientific areas.
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