Automated Cervical cancer Segmentation using 3 Level Distcrete Wavelet Transform & ABC Algorithm

Authors

  • Annalakshmi Govindaraj  Department of CSE, Kamaraj College of Engineering and Technology, Virdhunagar, Tamilnadu, India
  • Dr. Ravi Subban  Department of Computer Science, School of Engineering and Technology, Central University, Pondicherry, India

Keywords:

Discrete Wavelet Transform, Artificial Bee Colony , cervical cancer, co-occurrence matrix, Grey Entropy.

Abstract

Cervical Cancer is one of the most dangerous diseases which threaten women all over the world, since it has no symptoms at the earlier stage. Hence automated cervical Image Segmentation aims in pre-learning or analysis of the cervical cancer without any surgical method. However this results in earlier detection and treatment of cervical cancer in women and saves life. This paper proposes a method for segmenting the nucleus of cervical cell by preprocessing using 3 level-DWT and segmenting by Artificial Bee colony Algorithm. For the experimental analysis, cervical cell images are used. The experimental results show the performance of the proposed system.

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IInternational Journal of Scientific Research in Computer Science, Engineering and Information Technology

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Published

2017-12-31

Issue

Volume 2, Issue 6, November-December-2017

Section

Research Articles

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This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite

[1]
Annalakshmi Govindaraj, Dr. Ravi Subban, " Automated Cervical cancer Segmentation using 3 Level Distcrete Wavelet Transform & ABC Algorithm" International Journal of Scientific Research in Computer Science, Engineering and Information Technology(IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 6, pp.37-41, November-December-2017.