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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
Structuring element.Disk of radius 1–11 pixels created using a decomposition method with a neighbourhood of 4 pixels.
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pone-0026492-g002: Structuring element.Disk of radius 1–11 pixels created using a decomposition method with a neighbourhood of 4 pixels.

Mentions: The morphological opening operation performs an erosion operation followed by a dilation operation using a so-called structuring element. A structuring element is a mathematical binary shape; here we used the shape of a disk, see Figures 1 and 2. If the structuring element can fit inside an area of the image then the whole structural element will appear in the result of the transformation.


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

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

Structuring element.Disk of radius 1–11 pixels created using a decomposition method with a neighbourhood of 4 pixels.
© Copyright Policy
Related In: Results  -  Collection

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

pone-0026492-g002: Structuring element.Disk of radius 1–11 pixels created using a decomposition method with a neighbourhood of 4 pixels.
Mentions: The morphological opening operation performs an erosion operation followed by a dilation operation using a so-called structuring element. A structuring element is a mathematical binary shape; here we used the shape of a disk, see Figures 1 and 2. If the structuring element can fit inside an area of the image then the whole structural element will appear in the result of the transformation.

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