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:	T Technology (General)
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

id	iium-69453
recordtype	eprints
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
_version_	1777412986936229888

GLCM correlation approach for blood vessel identification in thermal image

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