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

Authors(2) :-Annalakshmi Govindaraj, Dr. Ravi Subban

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.

Authors and Affiliations

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

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

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Publication Details

Published in : Volume 2 | Issue 6 | November-December 2017
Date of Publication : 2017-12-31
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 37-41
Manuscript Number : CSEIT172639
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

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

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