Color Classification for Image Annotation

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.