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软件学报  2002 

Image Retrieval Based on Color-Spatial Feature
基于颜色-空间特征的图像检索

Keywords: content based image retrieval (CBIR),HSV color model,image segmentation,image similarity
基于内容的图像检索(CBIR)
,HSV颜色模型,图像分割,图像相似度

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Abstract:

The color histogram based image retrieval method is simple and efficient but losing the spatial distribution information of the color. In this paper, a color-space feature based image retrieval method is presented. The content of one image is looked as the aggregation of some main objects, which can be obtained by image segmentation. The total similarity between two images is computed according to these main objects?color, location and shape features and then retrieval there images. The experimental results show that the method is more accurate and efficient in retrieving the user interested images than color histogram method when there are obvious objects in the image.

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