• DocumentCode
    2463408
  • Title

    Counting and radius estimation of lipid droplet in intracellular images

  • Author

    Kumagai, Shohei ; Hotta, Kazuhiro

  • Author_Institution
    Meijo Univ., Nagoya, Japan
  • fYear
    2012
  • fDate
    14-17 Oct. 2012
  • Firstpage
    67
  • Lastpage
    71
  • Abstract
    Light spot counting and radius estimation in intracellular images is important for investigating the cause of clinical condition. Since light spots are counted manually now, we propose automatic counting and radius estimation methods by computer. To count light spots by computer, we realize it by face detection manner with Support Vector Machine. To estimate radius of light spot, we use circle fitting by robust statistic. The proposed method gives higher accuracy than ImageJ which is the generated light spot detection software in cell biology. The effectiveness of the radius estimating is also shown by experiments.
  • Keywords
    face recognition; medical image processing; support vector machines; cell biology; counting estimation; face detection; intracellular images; light spot counting; lipid droplet; medical imaging processing; radius estimation; support vector machine; Accuracy; Estimation; Fitting; Image edge detection; Lipidomics; Robustness; Support vector machines; Circle Fitting; Intracellular Images; Light Spots Counting; Radius Estimation; Robust Statistics;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man, and Cybernetics (SMC), 2012 IEEE International Conference on
  • Conference_Location
    Seoul
  • Print_ISBN
    978-1-4673-1713-9
  • Electronic_ISBN
    978-1-4673-1712-2
  • Type

    conf

  • DOI
    10.1109/ICSMC.2012.6377678
  • Filename
    6377678