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2018 | OriginalPaper | Chapter

Feature Extraction of Cervical Pap Smear Images Using Fuzzy Edge Detection Method

Authors : K. Hemalatha, K. Usha Rani

Published in: Data Engineering and Intelligent Computing

Publisher: Springer Singapore

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Abstract

In Medical field Segmentation of Medical Images is significant for disease diagnose. Image Segmentation divide an image into regions precisely which helps to identify the abnormalities in the Cancer cells for accurate diagnosis. Edge detection is the basic tool for Image Segmentation. Edge detection identifies the discontinuities in an image and locates the image intensity changes. In this paper, an improved Edge detection method with the Fuzzy approach is proposed to segment Cervical Pap Smear Images into Nucleus and Cytoplasm. Four important features of Cervical Pap Smear Images are extracted using proposed Edge detection method. The accuracy of extracted features using proposed method is analyzed and compared with other popular Image Segmentation techniques.

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Metadata
Title
Feature Extraction of Cervical Pap Smear Images Using Fuzzy Edge Detection Method
Authors
K. Hemalatha
K. Usha Rani
Copyright Year
2018
Publisher
Springer Singapore
Book
Data Engineering and Intelligent Computing

Print ISBN: 978-981-10-3222-6

Electronic ISBN: 978-981-10-3223-3

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-981-10-3223-3_8

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