Grain Size Measurement of Crystalline Products Using Maximum Difference Method

  • Leena Lepistö
  • Iivari Kunttu
  • Matti Lähdeniemi
  • Tero Tähti
  • Juha Nurmi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4522)


Texture analysis methods are widely used in various monitoring and measurement tasks in machine vision solutions. In this paper we present a novel method for the determination of grain size distributions in the manufacturing processes of crystalline products. Our method, maximum difference histogram (MDH), is based on statistical gray level differences in the texture images. Using this method, it is possible to estimate the grain size distributions in the images. It is also possible to monitor the average grain sizes in the image series acquired during the crystallization process. This is carried out by determining the center of gravity (CoG) of the distribution represented by MDH. Experimental results obtained from images acquired from a carbohydrate crystallization process reveal that the proposed method is useful in in-line grain size measurement tasks.


Gray Level Grain Size Distribution Texture Analysis Crystalline Product Crystal Size Distribution 
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Copyright information

© Springer Berlin Heidelberg 2007

Authors and Affiliations

  • Leena Lepistö
    • 1
  • Iivari Kunttu
    • 1
  • Matti Lähdeniemi
    • 1
  • Tero Tähti
    • 2
  • Juha Nurmi
    • 2
  1. 1.Satakunta University of Applied Sciences, Faculty of Technology and Maritime Management, Tekniikantie 2, FI-28600 PoriFinland
  2. 2.Danisco Texturants & Sweeteners, Innovation & Technology, Sokeritehtaantie 20, FI-02460 KantvikFinland

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