GLCM correlation approach for blood vessel identification in thermal image

The maturity of detection in emotions via thermal camera is evolving recently since it is able to detect the “hot” parts of human face composition replicating the area of blood vessels. The notion of non-invasive tools for data gatherings via a thermal camera has also been vigorously highlighte...

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Main Authors: Rusli, Nazreen, Md Yusof, Hazlina, Sidek, Shahrul Na'im, Ishak, Nor Izzati
Format: Conference or Workshop Item
Language:English
English
English
Published: Institute of Electrical and Electronics Engineers Inc. 2019
Subjects:
Online Access:http://irep.iium.edu.my/69453/
http://irep.iium.edu.my/69453/
http://irep.iium.edu.my/69453/
http://irep.iium.edu.my/69453/1/69453_GLCM%20correlation%20approach%20for%20blood%20vessel.pdf
http://irep.iium.edu.my/69453/2/69453_GLCM%20correlation%20approach%20for%20blood%20vessel_SCOPUS.pdf
http://irep.iium.edu.my/69453/3/69453_GLCM%20correlation%20approach%20for%20blood%20vessel_WOS.pdf
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spelling iium-694532019-06-18T08:12:53Z http://irep.iium.edu.my/69453/ GLCM correlation approach for blood vessel identification in thermal image Rusli, Nazreen Md Yusof, Hazlina Sidek, Shahrul Na'im Ishak, Nor Izzati T Technology (General) The maturity of detection in emotions via thermal camera is evolving recently since it is able to detect the “hot” parts of human face composition replicating the area of blood vessels. The notion of non-invasive tools for data gatherings via a thermal camera has also been vigorously highlighted. However, to the best of our knowledge, there is no research done to detect emotion of autistic children by using thermal camera. The autistic children are less able to present emotion through facial expression. We hypothesize that, the impact of cutaneous temperature changes due to blood flows in the blood vessels could be correlated to specific emotion state for healthy as well as autistic children. In this work, healthy children were assigned as subjects prior to the development of the algorithm for thermal imaging analysis to form a reference model. Facial thermal distribution was analyzed and a technique using Correlation in Gray Level Co-occurrence Matrices (GLCM) was proposed to identify the region with the presence of blood vessels. A fine k-Nearest Neighbor (k-NN) classifier shows a promising result for the proposed method and suggests that these analyses are momentous for distinguishing between five basic emotions and it could be used as non-verbal mediums to help on autistic children. Institute of Electrical and Electronics Engineers Inc. 2019-01-24 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/69453/1/69453_GLCM%20correlation%20approach%20for%20blood%20vessel.pdf application/pdf en http://irep.iium.edu.my/69453/2/69453_GLCM%20correlation%20approach%20for%20blood%20vessel_SCOPUS.pdf application/pdf en http://irep.iium.edu.my/69453/3/69453_GLCM%20correlation%20approach%20for%20blood%20vessel_WOS.pdf Rusli, Nazreen and Md Yusof, Hazlina and Sidek, Shahrul Na'im and Ishak, Nor Izzati (2019) GLCM correlation approach for blood vessel identification in thermal image. In: 2018 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES 2018), 3rd-6th December 2018, Kuching, Sarawak. https://ieeexplore.ieee.org/document/8626697 10.1109/IECBES.2018.8626697
repository_type Digital Repository
institution_category Local University
institution International Islamic University Malaysia
building IIUM Repository
collection Online Access
language English
English
English
topic T Technology (General)
spellingShingle T Technology (General)
Rusli, Nazreen
Md Yusof, Hazlina
Sidek, Shahrul Na'im
Ishak, Nor Izzati
GLCM correlation approach for blood vessel identification in thermal image
description The maturity of detection in emotions via thermal camera is evolving recently since it is able to detect the “hot” parts of human face composition replicating the area of blood vessels. The notion of non-invasive tools for data gatherings via a thermal camera has also been vigorously highlighted. However, to the best of our knowledge, there is no research done to detect emotion of autistic children by using thermal camera. The autistic children are less able to present emotion through facial expression. We hypothesize that, the impact of cutaneous temperature changes due to blood flows in the blood vessels could be correlated to specific emotion state for healthy as well as autistic children. In this work, healthy children were assigned as subjects prior to the development of the algorithm for thermal imaging analysis to form a reference model. Facial thermal distribution was analyzed and a technique using Correlation in Gray Level Co-occurrence Matrices (GLCM) was proposed to identify the region with the presence of blood vessels. A fine k-Nearest Neighbor (k-NN) classifier shows a promising result for the proposed method and suggests that these analyses are momentous for distinguishing between five basic emotions and it could be used as non-verbal mediums to help on autistic children.
format Conference or Workshop Item
author Rusli, Nazreen
Md Yusof, Hazlina
Sidek, Shahrul Na'im
Ishak, Nor Izzati
author_facet Rusli, Nazreen
Md Yusof, Hazlina
Sidek, Shahrul Na'im
Ishak, Nor Izzati
author_sort Rusli, Nazreen
title GLCM correlation approach for blood vessel identification in thermal image
title_short GLCM correlation approach for blood vessel identification in thermal image
title_full GLCM correlation approach for blood vessel identification in thermal image
title_fullStr GLCM correlation approach for blood vessel identification in thermal image
title_full_unstemmed GLCM correlation approach for blood vessel identification in thermal image
title_sort glcm correlation approach for blood vessel identification in thermal image
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2019
url http://irep.iium.edu.my/69453/
http://irep.iium.edu.my/69453/
http://irep.iium.edu.my/69453/
http://irep.iium.edu.my/69453/1/69453_GLCM%20correlation%20approach%20for%20blood%20vessel.pdf
http://irep.iium.edu.my/69453/2/69453_GLCM%20correlation%20approach%20for%20blood%20vessel_SCOPUS.pdf
http://irep.iium.edu.my/69453/3/69453_GLCM%20correlation%20approach%20for%20blood%20vessel_WOS.pdf
first_indexed 2023-09-18T21:38:35Z
last_indexed 2023-09-18T21:38:35Z
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