Hottest pixel segmentation based thermal image analysis for children

In this paper, the first order statistics for gray level intensity defined from thermal image is implemented to govern the significant and distinguishable characteristic pattern in thermal image of affective states. The impact of thresholding mechanism is studied to differentiate between positiv...

Full description

Bibliographic Details
Main Authors:	Rusli, Nazreen, Md. Yusof, Hazlina, Sidek, Shahrul Na'im, Latif, M. Hafiz
Format:	Conference or Workshop Item
Language:	English English
Published:	IEEE 2017
Subjects:	TA164 Bioengineering
Online Access:	http://irep.iium.edu.my/53830/ http://irep.iium.edu.my/53830/ http://irep.iium.edu.my/53830/ http://irep.iium.edu.my/53830/19/53830-edited.pdf http://irep.iium.edu.my/53830/8/53830-Hottest%20pixel%20segmentation%20based%20thermal%20image%20analysis%20for%20children_SCOPUS.pdf

id	iium-53830
recordtype	eprints
spelling	iium-538302019-01-10T04:53:08Z http://irep.iium.edu.my/53830/ Hottest pixel segmentation based thermal image analysis for children Rusli, Nazreen Md. Yusof, Hazlina Sidek, Shahrul Na'im Latif, M. Hafiz TA164 Bioengineering In this paper, the first order statistics for gray level intensity defined from thermal image is implemented to govern the significant and distinguishable characteristic pattern in thermal image of affective states. The impact of thresholding mechanism is studied to differentiate between positive affective states (happy) and negative affective states (sad) analysis in response to the stimuli adopted from International Affective Pictures System (IAPS) database. The hottest pixel segmentation technique is applied where it identifies the threshold level in a way to classify the hottest pixel area. The region of interest is narrowed to a forehead region with result of separation analysis made to left and right area. Two experiments have been conducted by using different set of stimuli and the results depicts of asymmetry and differed in culmination pattern for these two affective states. This conclusive result from this study suggests that this feature can be used as one of the important feature to give information of affective states on individuals with autism spectrum disorder (ASD) with least of facial expressions and perhaps would-be use in non-verbal means. IEEE 2017-02-06 Conference or Workshop Item PeerReviewed application/pdf en http://irep.iium.edu.my/53830/19/53830-edited.pdf application/pdf en http://irep.iium.edu.my/53830/8/53830-Hottest%20pixel%20segmentation%20based%20thermal%20image%20analysis%20for%20children_SCOPUS.pdf Rusli, Nazreen and Md. Yusof, Hazlina and Sidek, Shahrul Na'im and Latif, M. Hafiz (2017) Hottest pixel segmentation based thermal image analysis for children. In: 2016 IEEE EMBS Conference on Biomedical Engineering and Sciences (IECBES), 4th-8th December 2016, Kuala Lumpur. http://ieeexplore.ieee.org/document/7843457/ 10.1109/IECBES.2016.7843457
repository_type	Digital Repository
institution_category	Local University
institution	International Islamic University Malaysia
building	IIUM Repository
collection	Online Access
language	English English
topic	TA164 Bioengineering
spellingShingle	TA164 Bioengineering Rusli, Nazreen Md. Yusof, Hazlina Sidek, Shahrul Na'im Latif, M. Hafiz Hottest pixel segmentation based thermal image analysis for children
description	In this paper, the first order statistics for gray level intensity defined from thermal image is implemented to govern the significant and distinguishable characteristic pattern in thermal image of affective states. The impact of thresholding mechanism is studied to differentiate between positive affective states (happy) and negative affective states (sad) analysis in response to the stimuli adopted from International Affective Pictures System (IAPS) database. The hottest pixel segmentation technique is applied where it identifies the threshold level in a way to classify the hottest pixel area. The region of interest is narrowed to a forehead region with result of separation analysis made to left and right area. Two experiments have been conducted by using different set of stimuli and the results depicts of asymmetry and differed in culmination pattern for these two affective states. This conclusive result from this study suggests that this feature can be used as one of the important feature to give information of affective states on individuals with autism spectrum disorder (ASD) with least of facial expressions and perhaps would-be use in non-verbal means.
format	Conference or Workshop Item
author	Rusli, Nazreen Md. Yusof, Hazlina Sidek, Shahrul Na'im Latif, M. Hafiz
author_facet	Rusli, Nazreen Md. Yusof, Hazlina Sidek, Shahrul Na'im Latif, M. Hafiz
author_sort	Rusli, Nazreen
title	Hottest pixel segmentation based thermal image analysis for children
title_short	Hottest pixel segmentation based thermal image analysis for children
title_full	Hottest pixel segmentation based thermal image analysis for children
title_fullStr	Hottest pixel segmentation based thermal image analysis for children
title_full_unstemmed	Hottest pixel segmentation based thermal image analysis for children
title_sort	hottest pixel segmentation based thermal image analysis for children
publisher	IEEE
publishDate	2017
url	http://irep.iium.edu.my/53830/ http://irep.iium.edu.my/53830/ http://irep.iium.edu.my/53830/ http://irep.iium.edu.my/53830/19/53830-edited.pdf http://irep.iium.edu.my/53830/8/53830-Hottest%20pixel%20segmentation%20based%20thermal%20image%20analysis%20for%20children_SCOPUS.pdf
first_indexed	2023-09-18T21:16:09Z
last_indexed	2023-09-18T21:16:09Z
_version_	1777411575721754624

Hottest pixel segmentation based thermal image analysis for children

Similar Items