• DocumentCode
    1902658
  • Title

    An Automated Bacterial Colony Counting System

  • Author

    Zhang, Chengcui ; Chen, Wei-Bang ; Liu, Wen-Lin ; Chen, Chi-Bang

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Univ. of Alabama at Birmingham, Birmingham, AL
  • fYear
    2008
  • fDate
    11-13 June 2008
  • Firstpage
    233
  • Lastpage
    240
  • Abstract
    Bacterial colony enumeration is an essential tool for many widely used biomedical assays. However, bacterial colony enumerating is a low throughput, time consuming and labor intensive process since there might exist hundreds or thousands of colonies on a Petri dish, and the counting process is often manually performed by well-trained technicians. In this paper, we introduce a fully automatic yet cost-effective bacterial colony counter. Our proposed method can recognize chromatic and achromatic images and thus can deal with both color and clear medium. In addition, our proposed method can also accept general digital camera images as its input. The whole process includes detecting dish/plate regions, identifying colonies, separating aggregated colonies, and finally reporting consistent and accurate counting results. Our proposed counter has a promising performance in terms of both precision and recall, and is flexible and efficient in terms of labor- and time- savings.
  • Keywords
    image colour analysis; image recognition; medical image processing; microorganisms; Petri dish; achromatic images; automated bacterial colony counting system; bacterial colony enumeration; biomedical assays; chromatic images; digital camera images; Computer networks; Counting circuits; Digital cameras; Fluorescence; Laboratories; Microorganisms; Pervasive computing; Sensor systems; Throughput; USA Councils; Biomedical image mining; colony counting;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Sensor Networks, Ubiquitous and Trustworthy Computing, 2008. SUTC '08. IEEE International Conference on
  • Conference_Location
    Taichung
  • Print_ISBN
    978-0-7695-3158-8
  • Electronic_ISBN
    978-0-7695-3158-8
  • Type

    conf

  • DOI
    10.1109/SUTC.2008.50
  • Filename
    4545762