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...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
www.aiml.org
2006
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| Subjects: | |
| Online Access: | http://eprints.utm.my/3098/ http://eprints.utm.my/3098/1/Malaysia_Travel_Destination_Images_Search_Engine_Using_Geometric_Moment_Invariants.pdf |
| Summary: | 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 |
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