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Image classification is an important problem in computer vision. All existing image classification approaches tend to classify images of distinctly different objects. In this paper, we attempt to classify two similar image classes, Chinese and European classical architecture. First, Gabor filter is utilized to catch texture features of images. Then color histogram distance is adopted as a coefficient...
Most systems for content based image retrieval (CBIR) employ low level image features as a similarity measure. The problem of CBIR systems is that they are a ldquoblack boxrdquo to the user: Queries are specified by sample images, but the features which the CBIR system actually uses are unknown to the user. Hence, unexpected results are difficult to interpret. The problem becomes worse for inexperienced...
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