Automated Raw-Fish Processing System Using Machine Vision
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.
No Reference information available - sign in for access.
No Citation information available - sign in for access.
No Supplementary Data.
No Article Media
Document Type: Research Article
Publication date: November 1, 2013
More about this publication?
- 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.
- Editorial Board
- Information for Authors
- Subscribe to this Title
- Ingenta Connect is not responsible for the content or availability of external websites