Xianchuan Xu

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for years, researchers in medical image retrieval area have been representing and recognizing medical images based on Local Binary Patterns (LBP). Compared to Gabor wavelets, the LBP features can be extracted faster in a single scan through the raw image and lie in a lower dimensional space, whilst still retaining image information efficiently. To improve(More)
pattern feature is the intrinsic feature of an image. Compared with intensity feature and shape feature, pattern feature is more robust and it can provide lower ratio of withinclass variance to between-class variance. Therefore, we propose a novel image distance based on the pattern feature called Image Pattern Distance (IMPD). First we convert the image to(More)
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