Journal of Information Processing Systems

Korea Information Processing Society (한국정보처리학회)
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Cell Counting Algorithm Using Radius Variation, Watershed and Distance Transform

  • Received : 2018.05.28
  • Accepted : 2019.07.20
  • Published : 2020.02.29
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Abstract

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.

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References

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