Automatic detection method of bacteria

Jun Zhang, Qieshi Zhang

研究成果: Conference contribution

抄録

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.

本文言語English
ホスト出版物のタイトルProceedings of the 2007 International Conference on Information Acquisition, ICIA
ページ237-240
ページ数4
DOI
出版ステータスPublished - 2007
イベントInternational Conference on Information Acquisition, ICIA 2007 - Jeju City
継続期間: 2007 7 92007 7 11

Other

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

ASJC Scopus subject areas

  • Information Systems
  • Information Systems and Management

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