An improve augmented reality approach for stem in early childhood learning via image processing

Priscilla Kyle Payne and Rechard Lee and Connie Shin @ Connie Cassy Ompok and Jusiah Idang and Musirin bin Musin (2024) An improve augmented reality approach for stem in early childhood learning via image processing. The Seybold Report, 19 (4). pp. 1-14. ISSN 1533-9211

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URL: https://seyboldreport.org/article_overview?id=MDQy...

Abstract

This study aims to improve Augmented Reality marker detection by using a combination of several techniques of digital image processing. The first objective is to improve the marker used by removing noise from the marker by using bilateral filtering, the second objective is to improve the contrast on the marker by using the Histogram Equalization technique, and the third objective is to develop a marker-based Augmented Reality that has a good quality with a combination of Bilateral filtering and Histogram Equalization. Five experiments were carried out: the MSE test, the PSNR test, the FAST corner detection test, the marker distance test with the camera, and lighting test. The results of the MSE and PSNR tests show that the improved marker has a higher quality compared to the original marker. For the FAST corner detection test, the improved marker has more points compared to the original marker, and the results for the marker distance test and the camera show that the improved marker can be detected up to 70 cm and 80 cm compared to the original marker. For the lighting test also shows that the improved marker can be detected in all different lighting compared to the original marker.

Item Type:	Article
Keyword:	Augmented Reality, Marker-Based AR, Image Enhancements, Image Denoising, Image Restoration, bilateral, histogram equalization
Subjects:	L Education > LB Theory and practice of education > LB5-3640 Theory and practice of education > LB1139.2-1139.5 Early childhood education Q Science > QA Mathematics > QA1-939 Mathematics > QA71-90 Instruments and machines > QA75-76.95 Calculating machines
Department:	FACULTY > Faculty of Science and Natural Resources
Depositing User:	ABDULLAH BIN SABUDIN -
Date Deposited:	12 Nov 2024 09:58
Last Modified:	12 Nov 2024 09:58
URI:	https://eprints.ums.edu.my/id/eprint/41864

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