Fast Measuring Particle Size by Using the Information of Particle Boundary and Shape

  • Weixing Wang
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3930)


To quickly and accurately estimate average size of densely packed particles on a fast moving conveyor belt, a new image processing method is designed and studied. The method consists of two major algorithms, one is a one-pass boundary detection algorithm that is specially designed for the images of densely packed particles (the word “particle” is used in a wide sense), and the other is average size estimation based on image edge density. The algorithms are cooperative. The method has been tested experimentally for different kinds of closely packed particle images which are difficult to detect by ordinary image segmentation algorithms. The new method avoids delineating and measuring every particle on an image, therefore, is suitable for real-time imaging. It is particularly applicable for a densely packed and complicated particle image sequence.


Edge Detection Machine Intelligence Aggregate Particle Edge Density Particle Boundary 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Weixing Wang
    • 1
  1. 1.Department of Computer Science & TechnologyChongqing University of Posts & TelecommunicationsChina

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