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Journal of Emerging Trends in Computing and Information Sciences >> Call for Papers Vol. 8 No. 3, March 2017

Journal of Emerging Trends in Computing and Information Sciences

Cervix Cancer Diagnosis from Pap Smear Images Using Structure Based Segmentation and Shape Analysis

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Author Lipi B. Mahanta, Dilip Ch. Nath, Chandan Kr. Nath
ISSN 2079-8407
On Pages 245-249
Volume No. 3
Issue No. 2
Issue Date February 01, 2012
Publishing Date February 01, 2012
Keywords PAP smear, cervical cancer, image processing, MATLAB


Abstract

This work presents an approach for analysis of PAP smear images of cervical region based on cell nuclei distribution and shape and size analysis. PAP smear test is an efficient and easy procedure to detect any abnormality in cervical cells. But human observation is not always satisfying and it is a tedious task to manually analyze a large number of PAP smear images. The purpose of this study is to automate the screening process and to provide specific statistical data which will be helpful for detecting abnormalities in cervical region. The proposed approach is implemented in MATLAB®, a high level, interactive environment for data visualization/analysis/computation. The MATLAB® Image Processing Toolbox was used to segment the digital images and calculate various statistical data. By comparing cell nuclei distribution and taking into account the shape and size features MATLAB® can be programmed to distinguish normal cervical cell to questionable ones.  

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