Circulating tumor cells (CTCs) can be used for the early detection of cancer and determination of the effectiveness of anticancer drug treatment. Sometimes CTC grows on a culture medium which has a honeycomb texture, and existing detection methods cannot achieve satisfactory results because the honeycomb textures are more salient than the CTCs edges. Thus, a CTCs extraction method for honeycomb textures from microscope images is needed.In this paper, we propose a new algorithm to remove honeycomb texture from microscope images. We confirmed that our proposed algorithm can sufficiently remove the honeycomb texture even the periodicity of the patterns are weak. Also our method achieves a high segmentation accuracy for images where the background is more salient than the CTCs edges.

Original languageEnglish
Title of host publicationSPA 2019 - Signal Processing
Subtitle of host publicationAlgorithms, Architectures, Arrangements, and Applications, Conference Proceedings
PublisherIEEE Computer Society
Number of pages6
ISBN (Electronic)9788362065363
Publication statusPublished - Sept 2019
Event23rd Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2019 - Poznan, Poland
Duration: Sept 18 2019Sept 20 2019

Publication series

NameSignal Processing - Algorithms, Architectures, Arrangements, and Applications Conference Proceedings, SPA
ISSN (Print)2326-0262
ISSN (Electronic)2326-0319


Conference23rd Signal Processing: Algorithms, Architectures, Arrangements, and Applications, SPA 2019

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems
  • Signal Processing


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