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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.

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Size index of dry and moist.The median of the morphological opening intensity for batch C in moist (blue) and dry condition (green), and their trend-lines.
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pone-0026492-g022: Size index of dry and moist.The median of the morphological opening intensity for batch C in moist (blue) and dry condition (green), and their trend-lines.

Mentions: Batches C and D were analysed by the proposed method both in moist and dry conditions. The results obtained were not completely similar but the trends where almost identical, see Figure 22. The median of the opening operation intensity curves for moist and dry condition correlate at 0.96 for both batch C and batch D. It seems that the moist condition renders slightly higher size results than the dry condition for both batch C and batch D, however the difference is not large. This means that measurements of the moist pellets can be related to the dry pellets and the method can therefore be used for on-line quality control.


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

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

Size index of dry and moist.The median of the morphological opening intensity for batch C in moist (blue) and dry condition (green), and their trend-lines.
© Copyright Policy
Related In: Results  -  Collection

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

pone-0026492-g022: Size index of dry and moist.The median of the morphological opening intensity for batch C in moist (blue) and dry condition (green), and their trend-lines.
Mentions: Batches C and D were analysed by the proposed method both in moist and dry conditions. The results obtained were not completely similar but the trends where almost identical, see Figure 22. The median of the opening operation intensity curves for moist and dry condition correlate at 0.96 for both batch C and batch D. It seems that the moist condition renders slightly higher size results than the dry condition for both batch C and batch D, however the difference is not large. This means that measurements of the moist pellets can be related to the dry pellets and the method can therefore be used for on-line quality control.

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
Related in: MedlinePlus