DOI QR코드

DOI QR Code

Cell Counting Algorithm Using Radius Variation, Watershed and Distance Transform

  • 투고 : 2018.05.28
  • 심사 : 2019.07.20
  • 발행 : 2020.02.29

초록

This study proposed the structure of the cluster's cell counting algorithm for cell analysis. The image required for cell count is taken under a microscope. At present, the cell counting algorithm is reported to have a problem of low accuracy of results due to uneven shape and size clusters. To solve these problems, the proposed algorithm has a feature of calculating the number of cells in a cluster by applying a radius change analysis to the existing distance conversion and watershed algorithm. Later, cell counting algorithms are expected to yield reliable results if applied to the required field.

키워드

참고문헌

  1. H. Y. Kwon, M. S. Kim, K. W. Choi, H. J. Kwack, and S. H. Yu, "LVQ_Merge clustering algorithm for cell image extraction," Journal of Korea Multimedia Society, vol. 20, no. 6, pp. 845-852, 2017. https://doi.org/10.9717/kmms.2017.20.6.845
  2. M. Klinger-Strobel, H. Suesse, D. Fischer, M. W. Pletz, and O. Makarewicz, "A novel computerized cell count algorithm for biofilm analysis," PloS One, vol. 11, no. 5, article no. e0154937, 2016.
  3. S. J. Park, S. H. Park, J. G. Lee, S. B. Jang, and Y. W. Ko, "Cell bead counting using machine learning scheme," Proceedings of the KIISE, vol. 44, no. 2, pp. 933-935, 2017.
  4. M. G. Cho and J. Shim, "Cluster cell separation algorithm for automated cell tracking," Transactions of the Korean Society of Mechanical Engineers B, vol. 37, no. 3, pp. 259-266, 2013. https://doi.org/10.3795/KSME-B.2013.37.3.259
  5. X. Du and S. Dua, "Segmentation of fluorescence microscopy cell images using unsupervised mining," The Open Medical Informatics Journal, vol. 4, pp. 41-49, 2010. https://doi.org/10.2174/1874431101004020041
  6. X. Zhou, C. Wang, and L. Wang, "Blind image quality assessment on Gaussian blur images," Journal of Information Processing Systems, vol. 13, no. 3, pp. 448-463, 2017 https://doi.org/10.3745/JIPS.02.0059
  7. Sarah Hachemi Benziane and Abdelkader Benyettou, "Dorsal Hand Vein Identification Based on Binary Particle Swarm Optimization," Journal of Information Processing Systems, vol. 13, no. 2, pp. 268-283, 2017. https://doi.org/10.3745/JIPS.03.0066
  8. T. Chen, K. K. Ma, and L. H. Chen, "Tri-state median filter for image denoising," IEEE Transactions on Image Processing, vol. 8, no. 12, pp. 1834-1838, 1998. https://doi.org/10.1109/83.806630
  9. S. Jeong, Y. M. Lee, and S. Lee, "Development of an automatic sorting system for fresh ginsengs by image processing techniques," Human-centric Computing and Information Sciences, vol. 7, article no. 41, 2017.
  10. H. Talbot and B. C. Appleton, "Elliptical distance transforms and object splitting," in Proceedings of the 6th International Symposium on Mathematical Morphology, Sydney, Australia, 2002, pp. 229-240.
  11. J. B. Choi, H. M. Kim, and H. H. Ko, "Segmentation of colony image using watershed algorithm," Proceedings of IEIE Conference (Fall), vol. 25, no. 2, pp. 853-856, 2002.