Enhancement of cell visibility and contrast for fluorescence microscope images by subjective and objective analysis of several visual aspects

Automated detection and identification of abnormal cells in the human body is a critical application for medical image computing. Enhancement and de-noising of images remain challenging tasks and imperative steps for image analysis algorithms. Indeed, due to its early role in the process, the result...

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Main Authors: Mkayes, A.A., Walter, N., Saad, N.M., Faye, I., Cheong, S.C., Lim, K.P.
Format: Article
Institution: Universiti Teknologi Petronas
Record Id / ISBN-0: utp-eprints.20309 /
Published: Springer Verlag 2017
Online Access: https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992738123&doi=10.1007%2f978-981-10-1721-6_35&partnerID=40&md5=c52603135aaa15a4fb9684e0dd34e8b5
http://eprints.utp.edu.my/20309/
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spelling utp-eprints.203092018-04-23T01:03:59Z Enhancement of cell visibility and contrast for fluorescence microscope images by subjective and objective analysis of several visual aspects Mkayes, A.A. Walter, N. Saad, N.M. Faye, I. Cheong, S.C. Lim, K.P. Automated detection and identification of abnormal cells in the human body is a critical application for medical image computing. Enhancement and de-noising of images remain challenging tasks and imperative steps for image analysis algorithms. Indeed, due to its early role in the process, the results of advanced operators for feature extraction will highly depend on the quality of enhanced image produced. Depending on the presence of different noise types, particular algorithms will respond better. This paper presents a comprehensive comparison between several linear and non-linear filters applied on fluorescence microscope images for the localization and counting of specific cancer phenotypes from mouth cell samples. The objective analysis proposed is evaluating the PSNR and Delta-SNR (the SNR to SNR measure between original images and filtered ones) for blood sample sequences taken from Cancer Research Malaysia. Thirty Fluorescence microscope images with low contrast and non-uniform illumination have been tested and analysed. Non-linear algorithms seem to show improved contrast and background removal abilities compared to linear blurring and approximating filters. © Springer Science+Business Media Singapore 2017. Springer Verlag 2017 Article PeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992738123&doi=10.1007%2f978-981-10-1721-6_35&partnerID=40&md5=c52603135aaa15a4fb9684e0dd34e8b5 Mkayes, A.A. and Walter, N. and Saad, N.M. and Faye, I. and Cheong, S.C. and Lim, K.P. (2017) Enhancement of cell visibility and contrast for fluorescence microscope images by subjective and objective analysis of several visual aspects. Lecture Notes in Electrical Engineering, 398 . pp. 321-331. http://eprints.utp.edu.my/20309/
institution Universiti Teknologi Petronas
collection UTP Institutional Repository
description Automated detection and identification of abnormal cells in the human body is a critical application for medical image computing. Enhancement and de-noising of images remain challenging tasks and imperative steps for image analysis algorithms. Indeed, due to its early role in the process, the results of advanced operators for feature extraction will highly depend on the quality of enhanced image produced. Depending on the presence of different noise types, particular algorithms will respond better. This paper presents a comprehensive comparison between several linear and non-linear filters applied on fluorescence microscope images for the localization and counting of specific cancer phenotypes from mouth cell samples. The objective analysis proposed is evaluating the PSNR and Delta-SNR (the SNR to SNR measure between original images and filtered ones) for blood sample sequences taken from Cancer Research Malaysia. Thirty Fluorescence microscope images with low contrast and non-uniform illumination have been tested and analysed. Non-linear algorithms seem to show improved contrast and background removal abilities compared to linear blurring and approximating filters. © Springer Science+Business Media Singapore 2017.
format Article
author Mkayes, A.A.
Walter, N.
Saad, N.M.
Faye, I.
Cheong, S.C.
Lim, K.P.
spellingShingle Mkayes, A.A.
Walter, N.
Saad, N.M.
Faye, I.
Cheong, S.C.
Lim, K.P.
Enhancement of cell visibility and contrast for fluorescence microscope images by subjective and objective analysis of several visual aspects
author_sort Mkayes, A.A.
title Enhancement of cell visibility and contrast for fluorescence microscope images by subjective and objective analysis of several visual aspects
title_short Enhancement of cell visibility and contrast for fluorescence microscope images by subjective and objective analysis of several visual aspects
title_full Enhancement of cell visibility and contrast for fluorescence microscope images by subjective and objective analysis of several visual aspects
title_fullStr Enhancement of cell visibility and contrast for fluorescence microscope images by subjective and objective analysis of several visual aspects
title_full_unstemmed Enhancement of cell visibility and contrast for fluorescence microscope images by subjective and objective analysis of several visual aspects
title_sort enhancement of cell visibility and contrast for fluorescence microscope images by subjective and objective analysis of several visual aspects
publisher Springer Verlag
publishDate 2017
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84992738123&doi=10.1007%2f978-981-10-1721-6_35&partnerID=40&md5=c52603135aaa15a4fb9684e0dd34e8b5
http://eprints.utp.edu.my/20309/
_version_ 1741196351117459456
score 11.62408

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