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Reseach Article

Histological Image Segmentation using Fuzzy C-Means

Published on September 2016 by Rupesh Mandal, Nupur Choudhury, Baishali Goswami
International Conference on Computing and Communication
Foundation of Computer Science USA
ICCC2016 - Number 2
September 2016
Authors: Rupesh Mandal, Nupur Choudhury, Baishali Goswami
619bceab-15d8-4701-818f-00db775a7f86

Rupesh Mandal, Nupur Choudhury, Baishali Goswami . Histological Image Segmentation using Fuzzy C-Means. International Conference on Computing and Communication. ICCC2016, 2 (September 2016), 1-4.

@article{
author = { Rupesh Mandal, Nupur Choudhury, Baishali Goswami },
title = { Histological Image Segmentation using Fuzzy C-Means },
journal = { International Conference on Computing and Communication },
issue_date = { September 2016 },
volume = { ICCC2016 },
number = { 2 },
month = { September },
year = { 2016 },
issn = 0975-8887,
pages = { 1-4 },
numpages = 4,
url = { /proceedings/iccc2016/number2/26158-cc61/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Proceeding Article
%1 International Conference on Computing and Communication
%A Rupesh Mandal
%A Nupur Choudhury
%A Baishali Goswami
%T Histological Image Segmentation using Fuzzy C-Means
%J International Conference on Computing and Communication
%@ 0975-8887
%V ICCC2016
%N 2
%P 1-4
%D 2016
%I International Journal of Computer Applications
Abstract

This paper deals with the automatic segmentation of Haematoxylin and Eosin(H&E)stained Histological slide image with the help of advanced soft clustering mechanism. The clustering mechanism used in this proposed framework is Fuzzy C-Means (FCM) algorithm and it is implemented on the human skin dataset. The dataset is obtained by digitally scanning the H&E stained histological slide of human skin tissue with the help of WSI (Whole Slide Image) scanner. The FCM clustering mechanism is implemented on the image obtained after converting to L*a*b* colour space. This paper presents a detailed discussion regarding the L*a*b* colour space followed by the soft FCM algorithm. The experiment is carried out on human skin tissue and the results obtained after segmentation is shown which will prove to be helping hands for the medical practitioners for identifying and extracting the Region of Interest (ROI) for the purpose of diagnosis.

References
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Index Terms

Computer Science
Information Sciences

Keywords

Histological Slide Fuzzy C-means L*a*b* Colour Space Colour Image Segmentation.