Malaysia travel destination images search engine using geometric moment invariants
Content-based image retrieval (CBIR) is an alternative way to achieve effective image retrieval results that fulfill the user’s requirement when he/she search for image information from the Web. In this paper, we present a Malaysia’s travel destination images retrieval prototype application...
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| Format: | Article |
| Language: | en |
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www.aiml.org
2006
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| Online Access: | http://eprints.utm.my/3098/1/Malaysia_Travel_Destination_Images_Search_Engine_Using_Geometric_Moment_Invariants.pdf http://eprints.utm.my/3098/ http://www.icgst.com/aiml/Volume6/Issue2/P1120545002.html |
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| _version_ | 1845470827993104384 |
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| author | Selamat, Ali Ting, Teh Jian |
| author_facet | Selamat, Ali Ting, Teh Jian |
| author_sort | Selamat, Ali |
| building | UTM Library |
| collection | Institutional Repository |
| content_provider | Universiti Teknologi Malaysia |
| content_source | UTM Institutional Repository |
| continent | Asia |
| country | Malaysia |
| description | Content-based image retrieval (CBIR) is an
alternative way to achieve effective image retrieval
results that fulfill the user’s requirement when he/she
search for image information from the Web. In this
paper, we present a Malaysia’s travel destination
images retrieval prototype application using moment
geometry. In this prototype the effectiveness and the
accuracy of the image retrieval process will be
determine through features extraction by using
moment geometry. The keywords from user will be
used to match with the image database to search for
the related images. The result from the text-based
retrieval will be shown to user. The user will choose
one of the images that he or she wanted. The selected
image will proceed for the edge detection process
using Sobel operator. Features extracted from the
edge detection process will be used for the matching
process to retrieve related and relevant images. Edge
detection using the Sobel operator and moment
geometry invariants algorithm were implemented into
this prototype while precision and recall metrics are
used to evaluate the effectiveness and the accuracy of
this image retrieval prototype |
| format | Article |
| id | my.utm.eprints-3098 |
| institution | Universiti Teknologi Malaysia |
| language | en |
| publishDate | 2006 |
| publisher | www.aiml.org |
| record_format | eprints |
| spelling | my.utm.eprints-30982010-06-01T03:07:15Z http://eprints.utm.my/3098/ Malaysia travel destination images search engine using geometric moment invariants Selamat, Ali Ting, Teh Jian ZA4450 Databases Content-based image retrieval (CBIR) is an alternative way to achieve effective image retrieval results that fulfill the user’s requirement when he/she search for image information from the Web. In this paper, we present a Malaysia’s travel destination images retrieval prototype application using moment geometry. In this prototype the effectiveness and the accuracy of the image retrieval process will be determine through features extraction by using moment geometry. The keywords from user will be used to match with the image database to search for the related images. The result from the text-based retrieval will be shown to user. The user will choose one of the images that he or she wanted. The selected image will proceed for the edge detection process using Sobel operator. Features extracted from the edge detection process will be used for the matching process to retrieve related and relevant images. Edge detection using the Sobel operator and moment geometry invariants algorithm were implemented into this prototype while precision and recall metrics are used to evaluate the effectiveness and the accuracy of this image retrieval prototype www.aiml.org 2006-06 Article PeerReviewed application/pdf en http://eprints.utm.my/3098/1/Malaysia_Travel_Destination_Images_Search_Engine_Using_Geometric_Moment_Invariants.pdf Selamat, Ali and Ting, Teh Jian (2006) Malaysia travel destination images search engine using geometric moment invariants. The International Journal on Artificial Intelligence and machine learning (AIML), 6 (2). pp. 13-18. http://www.icgst.com/aiml/Volume6/Issue2/P1120545002.html |
| spellingShingle | ZA4450 Databases Selamat, Ali Ting, Teh Jian Malaysia travel destination images search engine using geometric moment invariants |
| title | Malaysia travel destination images search engine using geometric moment invariants |
| title_full | Malaysia travel destination images search engine using geometric moment invariants |
| title_fullStr | Malaysia travel destination images search engine using geometric moment invariants |
| title_full_unstemmed | Malaysia travel destination images search engine using geometric moment invariants |
| title_short | Malaysia travel destination images search engine using geometric moment invariants |
| title_sort | malaysia travel destination images search engine using geometric moment invariants |
| topic | ZA4450 Databases |
| url | http://eprints.utm.my/3098/1/Malaysia_Travel_Destination_Images_Search_Engine_Using_Geometric_Moment_Invariants.pdf http://eprints.utm.my/3098/ http://www.icgst.com/aiml/Volume6/Issue2/P1120545002.html |
| url_provider | http://eprints.utm.my/ |