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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.

Show MeSH
Method overview.Block diagram of the method used. The size index is calculated using one of the methods mean, median or APM. The pattern spectrum is used as a size distribution estimate. IQR is calculated to get a measurement of the spread of the size distribution and as another quality measure.
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pone-0026492-g007: Method overview.Block diagram of the method used. The size index is calculated using one of the methods mean, median or APM. The pattern spectrum is used as a size distribution estimate. IQR is calculated to get a measurement of the spread of the size distribution and as another quality measure.

Mentions: An overview of the proposed size index method can be seen in Figure 7.


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

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

Method overview.Block diagram of the method used. The size index is calculated using one of the methods mean, median or APM. The pattern spectrum is used as a size distribution estimate. IQR is calculated to get a measurement of the spread of the size distribution and as another quality measure.
© Copyright Policy
Related In: Results  -  Collection

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

pone-0026492-g007: Method overview.Block diagram of the method used. The size index is calculated using one of the methods mean, median or APM. The pattern spectrum is used as a size distribution estimate. IQR is calculated to get a measurement of the spread of the size distribution and as another quality measure.
Mentions: An overview of the proposed size index method can be seen in Figure 7.

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