Method development for verification the completeancient statues by image processing
Ancient statues are cultural heritages that should be preserved and maintained. Nevertheless, such invaluable statues may be targeted by vandalism or burglary. In order to guard these statues by using image processing, this research aims to develop a technique for detecting images of ancient statues...
Main Authors: | , , |
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Format: | Article |
Language: | English |
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Khon Kaen University
2015-06-01
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Series: | KKU Engineering Journal |
Subjects: | |
Online Access: | https://www.tci-thaijo.org/index.php/kkuenj/article/download/34905/28983 |
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author | Natthariya Laopracha Umaporn Saisangjan Rapeeporn Chamchong |
author_facet | Natthariya Laopracha Umaporn Saisangjan Rapeeporn Chamchong |
author_sort | Natthariya Laopracha |
collection | DOAJ |
description | Ancient statues are cultural heritages that should be preserved and maintained. Nevertheless, such invaluable statues may be targeted by vandalism or burglary. In order to guard these statues by using image processing, this research aims to develop a technique for detecting images of ancient statues with missing parts using digital image processing. This paper proposed the effective feature extraction method for detecting images of damaged statues or statues with missing parts based on the Histogram Oriented Gradient (HOG) technique, a popular method for object detection. Unlike the original HOG technique, the proposed method has improved the area scanning strategy that effectively extracts important features of statues. Results obtained from the proposed method were compared with those of the HOG method. The tested image dataset composed of 500 images of perfect statues and 500 images of statues with missing parts. The experimental results show that the proposed method yields 99.88% accuracy while the original HOG method gives the accuracy of only 84.86%. |
first_indexed | 2024-04-13T05:42:40Z |
format | Article |
id | doaj.art-f91739d03d484a119aa13501f1a7ab11 |
institution | Directory Open Access Journal |
issn | 0125-8273 2286-9433 |
language | English |
last_indexed | 2024-04-13T05:42:40Z |
publishDate | 2015-06-01 |
publisher | Khon Kaen University |
record_format | Article |
series | KKU Engineering Journal |
spelling | doaj.art-f91739d03d484a119aa13501f1a7ab112022-12-22T03:00:03ZengKhon Kaen UniversityKKU Engineering Journal0125-82732286-94332015-06-0142220321010.14456/kkuenj.2015.21Method development for verification the completeancient statues by image processingNatthariya LaoprachaUmaporn SaisangjanRapeeporn ChamchongAncient statues are cultural heritages that should be preserved and maintained. Nevertheless, such invaluable statues may be targeted by vandalism or burglary. In order to guard these statues by using image processing, this research aims to develop a technique for detecting images of ancient statues with missing parts using digital image processing. This paper proposed the effective feature extraction method for detecting images of damaged statues or statues with missing parts based on the Histogram Oriented Gradient (HOG) technique, a popular method for object detection. Unlike the original HOG technique, the proposed method has improved the area scanning strategy that effectively extracts important features of statues. Results obtained from the proposed method were compared with those of the HOG method. The tested image dataset composed of 500 images of perfect statues and 500 images of statues with missing parts. The experimental results show that the proposed method yields 99.88% accuracy while the original HOG method gives the accuracy of only 84.86%.https://www.tci-thaijo.org/index.php/kkuenj/article/download/34905/28983Image processingStatue detectionFeature extractionObject detection |
spellingShingle | Natthariya Laopracha Umaporn Saisangjan Rapeeporn Chamchong Method development for verification the completeancient statues by image processing KKU Engineering Journal Image processing Statue detection Feature extraction Object detection |
title | Method development for verification the completeancient statues by image processing |
title_full | Method development for verification the completeancient statues by image processing |
title_fullStr | Method development for verification the completeancient statues by image processing |
title_full_unstemmed | Method development for verification the completeancient statues by image processing |
title_short | Method development for verification the completeancient statues by image processing |
title_sort | method development for verification the completeancient statues by image processing |
topic | Image processing Statue detection Feature extraction Object detection |
url | https://www.tci-thaijo.org/index.php/kkuenj/article/download/34905/28983 |
work_keys_str_mv | AT natthariyalaopracha methoddevelopmentforverificationthecompleteancientstatuesbyimageprocessing AT umapornsaisangjan methoddevelopmentforverificationthecompleteancientstatuesbyimageprocessing AT rapeepornchamchong methoddevelopmentforverificationthecompleteancientstatuesbyimageprocessing |