Automatic detection method of bacteria

Jun Zhang, Qieshi Zhang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the bacteria images automatic analysis system, bacteria detection is a vital step. According to the characteristics of sample images, this paper proposed a method based on color space conversion, self-organizing feature map (SOFM) neural network and morphological operations. First, the conversion formula is built to convert RGB color space to CMYK color space. Second, according to the information of M channel in the CMYK color space, SOFM is used to reduce gray level and then the binary image can be got. Third, morphological operation is used to distinguish and count single bacterium, mass bacteria, and color drop. With abundant samples, experimental results indicate our method can extract the objects both accurately and availably.

Original languageEnglish
Title of host publicationProceedings of the 2007 International Conference on Information Acquisition, ICIA
Pages237-240
Number of pages4
DOIs
Publication statusPublished - 2007
EventInternational Conference on Information Acquisition, ICIA 2007 - Jeju City
Duration: 2007 Jul 92007 Jul 11

Other

OtherInternational Conference on Information Acquisition, ICIA 2007
CityJeju City
Period07/7/907/7/11

Keywords

  • Color space
  • Morphological operation
  • Self-organizing feature map (SOFM)

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management

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  • Cite this

    Zhang, J., & Zhang, Q. (2007). Automatic detection method of bacteria. In Proceedings of the 2007 International Conference on Information Acquisition, ICIA (pp. 237-240). [4295733] https://doi.org/10.1109/ICIA.2007.4295733