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Kyaukse University
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Mawlamyine University
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Meiktila University
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Mohnyin University
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Myanmar Institute of Information Technology
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Myanmar Maritime University
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National Management Degree College
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Naypyitaw State Academy
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Pathein University
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Sagaing University
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Sagaing University of Education
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Taunggyi University
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Technological University, Hmawbi
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Technological University (Kyaukse)
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Technological University Mandalay
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University of Computer Studies, Mandalay
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University of Computer Studies Maubin
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University of Computer Studies, Meikhtila
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University of Computer Studies Pathein
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University of Computer Studies, Taungoo
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University of Computer Studies, Yangon
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University of Dental Medicine Mandalay
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University of Dental Medicine, Yangon
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University of Information Technology
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University of Mandalay
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University of Medicine 1
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University of Medicine 2
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University of Medicine Mandalay
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University of Myitkyina
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University of Public Health, Yangon
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University of Veterinary Science
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University of Yangon
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West Yangon University
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Yadanabon University
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Yangon Technological University
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Yangon University of Distance Education
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Yangon University of Economics
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Yangon University of Education
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Yangon University of Foreign Languages
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Yezin Agricultural University
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New Index
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Item
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Color Classification for Image Annotation
http://hdl.handle.net/20.500.12678/0000004875
http://hdl.handle.net/20.500.12678/0000004875fa1cd30f-91f7-4a79-ae0e-318bf9683a9d
77d09fec-4e06-4221-be84-80556db5e780
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Publication type | ||||||
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Article | ||||||
Upload type | ||||||
Publication | ||||||
Title | ||||||
Title | Color Classification for Image Annotation | |||||
Language | en | |||||
Publication date | 2013-02-26 | |||||
Authors | ||||||
Sein, Myint Myint | ||||||
Yu, May The' | ||||||
Description | ||||||
Capturing of the digital images using multimediadevices and the digital cameras is becoming increasinglymore popular. Annotating the digital pictures isimportant to support the browsing, i.e. search patternand retrieval of the images. Image annotation techniquesdepend entirely on visual properties of the image. Thetextual annotations or the tags with multimedia contentare the most effective approaches to organize and tosupport search over digital images and multimediadatabases. The image annotation preferred because asthe countless images exist in our lives it is not possible toannotate them all by hand. And so annotation bycomputer is a potential and promising solution to thisproblem precisely. In this paper, color segmentationapproach for image annotation is proposed. The regionsegmentation is performed by N-cut algorithm. RGBcolor space and HSI color space are mainly used forcolor classification and database creation. Severalexperiments have been done to confirm the effectivenessof the proposed method. | ||||||
Keywords | ||||||
Image Segmentation, Color classification, Image database, Annotation, Segmented parts | ||||||
Identifier | http://onlineresource.ucsy.edu.mm/handle/123456789/770 | |||||
Journal articles | ||||||
Eleventh International Conference On Computer Applications (ICCA 2013) | ||||||
Conference papers | ||||||
Books/reports/chapters | ||||||
Thesis/dissertations |