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Study on Sperm DNA Integrity Detection Using an Image Processing Approach

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Main Authors: Banu Rekha B., Vidya Lakshmi, Anusha Devi T T, Sree Niranjanaa Bose S, Sujatha, S.
Other Authors: banurekha.cbe@gmail.com
Format: Article
Language:English
Published: Universiti Malaysia Perlis (UniMAP) 2019
Subjects:
Extended Maximum Transform
Image Processing
K-means clustering
Sperm Integrity
Sperm Morphology Analysis
Online Access:http://dspace.unimap.edu.my:80/xmlui/handle/123456789/57953
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spelling my.unimap-579532019-01-15T02:38:56Z Study on Sperm DNA Integrity Detection Using an Image Processing Approach Banu Rekha B. Vidya Lakshmi Anusha Devi T T Sree Niranjanaa Bose S Sujatha, S. banurekha.cbe@gmail.com Extended Maximum Transform Image Processing K-means clustering Sperm Integrity Sperm Morphology Analysis Link to publisher's homepage at http://jere.unimap.edu.my Human reproductive issues are on the rise across the globe due to change in lifestyle, food habits and deteriorating environmental conditions. Hence, detection and treatment of infertility is gaining impetus. Quality of the sperm plays a crucial role in male infertility. Manual detection of sperm quality is prone to pitfalls. Computer aided sperm analysis is economically distant in developing and under developed countries. Hence, this research is an effort towards developing simple image processing techniques to detect the integrity of sperm DNA. Microscopic images of semen samples from subjects with and without fertility issues were considered. Two image processing techniques, namely, threshold and extended maximum transform and K-means clustering were employed to detect the core and halo parts of the sperm DNA. Based on the difference in the diameters of these parts, the sperm halos were categorized and degraded cells were identified. The sperm cell categorization with K means algorithm provides 96.6% accuracy with the limited number of samples. The results of the study suggest that the proposed method would help in developing simple and economical means of sperm integrity testing. 2019-01-15T02:38:56Z 2019-01-15T02:38:56Z 2018 Article Journal of Engineering Research and Education, vol.10, 2018, pages 29-38 2232-1098 http://dspace.unimap.edu.my:80/xmlui/handle/123456789/57953 en Universiti Malaysia Perlis (UniMAP)
institution Universiti Malaysia Perlis
building UniMAP Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Malaysia Perlis
content_source UniMAP Library Digital Repository
url_provider http://dspace.unimap.edu.my/
language English
topic Extended Maximum Transform
Image Processing
K-means clustering
Sperm Integrity
Sperm Morphology Analysis
spellingShingle Extended Maximum Transform
Image Processing
K-means clustering
Sperm Integrity
Sperm Morphology Analysis
Banu Rekha B.
Vidya Lakshmi
Anusha Devi T T
Sree Niranjanaa Bose S
Sujatha, S.
Study on Sperm DNA Integrity Detection Using an Image Processing Approach
description Link to publisher's homepage at http://jere.unimap.edu.my
author2 banurekha.cbe@gmail.com
author_facet banurekha.cbe@gmail.com
Banu Rekha B.
Vidya Lakshmi
Anusha Devi T T
Sree Niranjanaa Bose S
Sujatha, S.
format Article
author Banu Rekha B.
Vidya Lakshmi
Anusha Devi T T
Sree Niranjanaa Bose S
Sujatha, S.
author_sort Banu Rekha B.
title Study on Sperm DNA Integrity Detection Using an Image Processing Approach
title_short Study on Sperm DNA Integrity Detection Using an Image Processing Approach
title_full Study on Sperm DNA Integrity Detection Using an Image Processing Approach
title_fullStr Study on Sperm DNA Integrity Detection Using an Image Processing Approach
title_full_unstemmed Study on Sperm DNA Integrity Detection Using an Image Processing Approach
title_sort study on sperm dna integrity detection using an image processing approach
publisher Universiti Malaysia Perlis (UniMAP)
publishDate 2019
url http://dspace.unimap.edu.my:80/xmlui/handle/123456789/57953
_version_ 1643805476211654656
score 13.214268

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