Limits...
Image analysis of pellet size for a control system in industrial feed production.

Ljungqvist MG, Nielsen ME, Ersbøll BK, Frosch S - PLoS ONE (2011)

Bottom Line: In this paper an image analysis method is proposed for automatic size-monitoring of pellets.This is called granulometry and the method used here is based on the mathematical morphological opening operation.In the proposed method, no image object segmentation is needed.

View Article: PubMed Central - PubMed

Affiliation: Department of Informatics and Mathematical Modelling, Technical University of Denmark, Kongens Lyngby, Denmark. malj@imm.dtu.dk

ABSTRACT
When producing aquaculture fish feed pellets, the size of the output product is of immense importance. As the production method cannot produce pellets of constant and uniform size using constant machine settings, there is a demand for size control. Fish fed with feed pellets of improper size are prone to not grow as expected, which is undesirable to the aquaculture industry. In this paper an image analysis method is proposed for automatic size-monitoring of pellets. This is called granulometry and the method used here is based on the mathematical morphological opening operation. In the proposed method, no image object segmentation is needed. The results show that it is possible to extract a general size distribution from an image of piled disordered pellets representing both length and diameter of the pellets in combination as an area.

Show MeSH
Opening derivative.The first derivative of the opening intensity for all time samples (1–10) in Batch A.
© Copyright Policy
Related In: Results  -  Collection


getmorefigures.php?uid=PMC3198772&req=5

pone-0026492-g016: Opening derivative.The first derivative of the opening intensity for all time samples (1–10) in Batch A.

Mentions: The successive morphological opening intensity curves are an indication of pellet size changes in an image and the result for batch A can be seen in Figure 14. A close-up on the morphological opening intensity for batch A showing the size changes over time can be seen in Figure 15. Each derivative extremum in the intensity derivative indicates a change in the opening intensity, the result for batch A can be seen in Figure 16.


Image analysis of pellet size for a control system in industrial feed production.

Ljungqvist MG, Nielsen ME, Ersbøll BK, Frosch S - PLoS ONE (2011)

Opening derivative.The first derivative of the opening intensity for all time samples (1–10) in Batch A.
© Copyright Policy
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC3198772&req=5

pone-0026492-g016: Opening derivative.The first derivative of the opening intensity for all time samples (1–10) in Batch A.
Mentions: The successive morphological opening intensity curves are an indication of pellet size changes in an image and the result for batch A can be seen in Figure 14. A close-up on the morphological opening intensity for batch A showing the size changes over time can be seen in Figure 15. Each derivative extremum in the intensity derivative indicates a change in the opening intensity, the result for batch A can be seen in Figure 16.

Bottom Line: In this paper an image analysis method is proposed for automatic size-monitoring of pellets.This is called granulometry and the method used here is based on the mathematical morphological opening operation.In the proposed method, no image object segmentation is needed.

View Article: PubMed Central - PubMed

Affiliation: Department of Informatics and Mathematical Modelling, Technical University of Denmark, Kongens Lyngby, Denmark. malj@imm.dtu.dk

ABSTRACT
When producing aquaculture fish feed pellets, the size of the output product is of immense importance. As the production method cannot produce pellets of constant and uniform size using constant machine settings, there is a demand for size control. Fish fed with feed pellets of improper size are prone to not grow as expected, which is undesirable to the aquaculture industry. In this paper an image analysis method is proposed for automatic size-monitoring of pellets. This is called granulometry and the method used here is based on the mathematical morphological opening operation. In the proposed method, no image object segmentation is needed. The results show that it is possible to extract a general size distribution from an image of piled disordered pellets representing both length and diameter of the pellets in combination as an area.

Show MeSH