Abstract:The typical approaches for content-based image retrieval extract signatures such as color, shape, and texture from each image and map the features into a d-dimensional metric space. According to the similarity measurement, the images closer to the signatures are shown to the users and constitute the query results. Such a retrieval method is prohibited in matching similar images from global similarity measurement that fails to consider partially matched images. In this paper, a genetic algorithm-based approach … Show more
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