Semantic-based scene image retrieval

Semantic-based scene image retrieval aims to classify image right and provide understanding of image contents.The semantic-based image retrieval is investigated based on the rough set theory and has more flexibility to deal with the large changes in image appea-rance and noises of the scene image.Experimental results show that the system obtains 85% of average classification accuracy for four types of scene images.