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Comparison of image processing methods for the detection of particle from digital hologram

Two image processing methods are presented and compared for particle detection based on digital holography. The image processing methods are developed based on edge detection and threshold based segmentation. The proposed methods have been applied on reconstructed images of holograms of ceramic bead...

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Main Authors: Khanam, T., Rashedi, A., Chowdhury, S., Asundi, A.K.
Format: Article
Published: Trans Tech Publications Ltd 2014
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914129408&doi=10.4028%2fwww.scientific.net%2fAMM.625.444&partnerID=40&md5=83a4da2a554adf0ac0f18fb17b5e9ba9
http://eprints.utp.edu.my/31964/
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spelling my.utp.eprints.319642022-03-29T04:04:22Z Comparison of image processing methods for the detection of particle from digital hologram Khanam, T. Rashedi, A. Chowdhury, S. Asundi, A.K. Two image processing methods are presented and compared for particle detection based on digital holography. The image processing methods are developed based on edge detection and threshold based segmentation. The proposed methods have been applied on reconstructed images of holograms of ceramic beads and certified microspheres. Particle size distribution obtained for both methods are found to be in good agreement with the actual size; but the processing speed for threshold based detection is found to be faster in comparison to the edge detection method. © 2014 Trans Tech Publications, Switzerland. Trans Tech Publications Ltd 2014 Article NonPeerReviewed https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914129408&doi=10.4028%2fwww.scientific.net%2fAMM.625.444&partnerID=40&md5=83a4da2a554adf0ac0f18fb17b5e9ba9 Khanam, T. and Rashedi, A. and Chowdhury, S. and Asundi, A.K. (2014) Comparison of image processing methods for the detection of particle from digital hologram. Applied Mechanics and Materials, 625 . pp. 444-447. http://eprints.utp.edu.my/31964/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
description Two image processing methods are presented and compared for particle detection based on digital holography. The image processing methods are developed based on edge detection and threshold based segmentation. The proposed methods have been applied on reconstructed images of holograms of ceramic beads and certified microspheres. Particle size distribution obtained for both methods are found to be in good agreement with the actual size; but the processing speed for threshold based detection is found to be faster in comparison to the edge detection method. © 2014 Trans Tech Publications, Switzerland.
format Article
author Khanam, T.
Rashedi, A.
Chowdhury, S.
Asundi, A.K.
spellingShingle Khanam, T.
Rashedi, A.
Chowdhury, S.
Asundi, A.K.
Comparison of image processing methods for the detection of particle from digital hologram
author_facet Khanam, T.
Rashedi, A.
Chowdhury, S.
Asundi, A.K.
author_sort Khanam, T.
title Comparison of image processing methods for the detection of particle from digital hologram
title_short Comparison of image processing methods for the detection of particle from digital hologram
title_full Comparison of image processing methods for the detection of particle from digital hologram
title_fullStr Comparison of image processing methods for the detection of particle from digital hologram
title_full_unstemmed Comparison of image processing methods for the detection of particle from digital hologram
title_sort comparison of image processing methods for the detection of particle from digital hologram
publisher Trans Tech Publications Ltd
publishDate 2014
url https://www.scopus.com/inward/record.uri?eid=2-s2.0-84914129408&doi=10.4028%2fwww.scientific.net%2fAMM.625.444&partnerID=40&md5=83a4da2a554adf0ac0f18fb17b5e9ba9
http://eprints.utp.edu.my/31964/
_version_ 1738657321092907008
score 13.1944895

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