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Color Classification for Image Annotation

http://hdl.handle.net/20.500.12678/0000004875
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77d09fec-4e06-4221-be84-80556db5e780
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11075.pdf 11075.pdf (458 Kb)
Publication type
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
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