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Adaptive analysis method for particles image

  • Wencheng WangEmail author
  • Tao Ji
Article
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Abstract

To address the adhesion problem that usually exists in particle image analysis, a kind of adaptive method is proposed in this paper. First, gray transformation and median filtering are conducted on a particle image. Then, the obtained target image is threshold segmented. In addition, distance transformation and watershed segmentation are performed on the binary image that was processed based on the mathematical morphology, and the watershed ridge line in the image can be obtained. The boundary in the adhesion region is extracted by performing an intersection calculation between the original image and the segmented target area. Finally, the parameters of single particles, such as the area, perimeter and particle diameter, are calculated, and particle image analysis is realized. Through experiments on images collected in the laboratory, it is shown that this method is simple and convenient and can be popularized in the industry.

Keywords

Adhesive particles Mathematic morphology Overlapping particles Watershed method 

Notes

Acknowledgements

This work is supported by National Nature Science Foundation of China (Nos. 61403283, 61876099), Shandong Provincial Natural Science Foundation, China (No.ZR2013FQ036) and Technology Development Plan of Weifang City (No.201301015). We are grateful to Dr. Zhenxue Chen for helping us to process the technical editing of the manuscript.

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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2018

Authors and Affiliations

  1. 1.College of Information and Control EngineeringWeifang UniversityWeifangChina

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