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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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Calliper measurement.The manual, calliper-measured diameter of the start (blue) and stop samples (red) of 51 pellets from batch D. Pellets in dry condition.
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pone-0026492-g020: Calliper measurement.The manual, calliper-measured diameter of the start (blue) and stop samples (red) of 51 pellets from batch D. Pellets in dry condition.

Mentions: The pattern spectrum shows a good estimation of the size distribution. The pattern spectrum size distribution is similar to the one obtained with the calliper measurements, see Figure 20 and compare with the pattern spectrum in Figure 21. Analysing the values of the pattern spectrum to the right of the maximum value results in a good size change estimation similar to taking the mean or median of the morphological opening intensity curve. Also the opening intensity at the pattern spectrum maximum (APM) shows similar results, see Table 2. The trend-lines of APM and calliper measurements are both increasing.


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

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

Calliper measurement.The manual, calliper-measured diameter of the start (blue) and stop samples (red) of 51 pellets from batch D. Pellets in dry condition.
© Copyright Policy
Related In: Results  -  Collection

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

pone-0026492-g020: Calliper measurement.The manual, calliper-measured diameter of the start (blue) and stop samples (red) of 51 pellets from batch D. Pellets in dry condition.
Mentions: The pattern spectrum shows a good estimation of the size distribution. The pattern spectrum size distribution is similar to the one obtained with the calliper measurements, see Figure 20 and compare with the pattern spectrum in Figure 21. Analysing the values of the pattern spectrum to the right of the maximum value results in a good size change estimation similar to taking the mean or median of the morphological opening intensity curve. Also the opening intensity at the pattern spectrum maximum (APM) shows similar results, see Table 2. The trend-lines of APM and calliper measurements are both increasing.

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