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A New Type of Using Morphology Methods to Detect Blood Cancer Cells

  • Yujie Li
  • Lifeng Zhang
  • Huimin Lu
  • Yuhki Kitazono
  • Shiyuan Yang
  • Shota Nakashima
  • Seiichi Serikawa
Conference paper
Part of the Advances in Intelligent and Soft Computing book series (AINSC, volume 158)

Abstract

In order to resolve the problem of recognizing blood cancer cells accurately and effectively, an identifying and classifying algorithm was proposed using grey level and color space. After image processing, blood cells images were gained by using denoising, smoothness, image erosion and so on. After that, we use granularity analysis method and morphology to recognize the blood cells. And then, calculate four characterizes of each cell, which is, area, roundness, rectangle factor and elongation, to analysis the cells. Moreover, we also applied the chromatic features to recognize the blood cancer cells. The algorithm was testified in many clinical collected cases of blood cells images. The results proved that the algorithm was valid and efficient in recognizing blood cancer cells and had relatively high accurate rates on identification and classification.

Keywords

image processing mathematical morphology image denoising granularity detection cell clustering cell recognition 

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Copyright information

© Springer-Verlag GmbH Berlin Heidelberg 2012

Authors and Affiliations

  • Yujie Li
    • 1
  • Lifeng Zhang
    • 1
  • Huimin Lu
    • 1
  • Yuhki Kitazono
    • 2
  • Shiyuan Yang
    • 1
  • Shota Nakashima
    • 3
  • Seiichi Serikawa
    • 1
  1. 1.Department of Electrical Engineering and ElectronicsKyushu Institute of TechnologyKyushuJapan
  2. 2.Department of Electronics and Control EngineeringKitakyushu National College of TechnologyKitakyushuJapan
  3. 3.Department of Electircal EngineeringUbe National College of TechnologyUbeJapan

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