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Color Classification for Image Annotation

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dc.contributor.author Sein, Myint Myint
dc.contributor.author Yu, May The'
dc.date.accessioned 2019-07-11T08:18:23Z
dc.date.available 2019-07-11T08:18:23Z
dc.date.issued 2013-02-26
dc.identifier.uri http://onlineresource.ucsy.edu.mm/handle/123456789/770
dc.description.abstract Capturing of the digital images using multimedia devices and the digital cameras is becoming increasingly more popular. Annotating the digital pictures is important to support the browsing, i.e. search pattern and retrieval of the images. Image annotation techniques depend entirely on visual properties of the image. The textual annotations or the tags with multimedia content are the most effective approaches to organize and to support search over digital images and multimedia databases. The image annotation preferred because as the countless images exist in our lives it is not possible to annotate them all by hand. And so annotation by computer is a potential and promising solution to this problem precisely. In this paper, color segmentation approach for image annotation is proposed. The region segmentation is performed by N-cut algorithm. RGB color space and HSI color space are mainly used for color classification and database creation. Several experiments have been done to confirm the effectiveness of the proposed method. en_US
dc.language.iso en en_US
dc.publisher Eleventh International Conference On Computer Applications (ICCA 2013) en_US
dc.subject Image Segmentation en_US
dc.subject Color classification en_US
dc.subject Image database en_US
dc.subject Annotation en_US
dc.subject Segmented parts en_US
dc.title Color Classification for Image Annotation en_US
dc.type Article en_US


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