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

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Soft Computing in Information Communication Technology

Part of the book series: Advances in Intelligent and Soft Computing ((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.

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Authors and Affiliations

  1. Department of Electrical Engineering and Electronics, Kyushu Institute of Technology, 1-1 Sensui-cho, Kyushu, 804-8550, Japan

    Yujie Li, Lifeng Zhang, Huimin Lu, Shiyuan Yang & Seiichi Serikawa

  2. Department of Electronics and Control Engineering, Kitakyushu National College of Technology, 5-20-1 shii, Kitakyushu, 802-0985, Japan

    Yuhki Kitazono

  3. Department of Electircal Engineering, Ube National College of Technology, 2-14-1, Tokiwadai, Ube, 755-8555, Japan

    Shota Nakashima

Authors
  1. Yujie Li
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  2. Lifeng Zhang
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  3. Huimin Lu
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  4. Yuhki Kitazono
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  5. Shiyuan Yang
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  6. Shota Nakashima
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  7. Seiichi Serikawa
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Corresponding author

Correspondence to Yujie Li .

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Editors and Affiliations

  1. National Kinmen Institute of Technology, University Road, Jinning ownship, Kinmen, Taiwan R.O.C.

    Jia Luo

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© 2012 Springer-Verlag GmbH Berlin Heidelberg

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Li, Y. et al. (2012). A New Type of Using Morphology Methods to Detect Blood Cancer Cells. In: Luo, J. (eds) Soft Computing in Information Communication Technology. Advances in Intelligent and Soft Computing, vol 158. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-29148-7_4

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  • DOI: https://doi.org/10.1007/978-3-642-29148-7_4

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-29147-0

  • Online ISBN: 978-3-642-29148-7

  • eBook Packages: EngineeringEngineering (R0)

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