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In this paper, a new content-based image retrieval approach is proposed based on high-dimensional information theory. The proposed approach overcomes the disadvantages of the current content-based image retrieval algorithms that suffer from the semantic gap. First, we present a new multidimensional information space’s vector angle cosine algorithm of high-dimensional geometry, then, we provide a detailed...
Pathological image retrieval contributes to computer-aided diagnosis for breast cancer due to the fact that the retrieval results generally contain detailed diagnostic information (e.g. abnormal regions and diagnostic opinion from other doctors) which can offer some reference and assistance to the doctor during diagnosis process. In this paper, we present a novel pathological image retrieval approach...
Bag-of-features (BoF) model based on SIFT generally assumes each descriptor is related to only one visual word of the codebook. Therefore, the potential correlation between the descriptor and other visual words is ignored. On the other hand, sparse coding through l1-norm regularization fails to generate optimal sparse representations since l1-norm regularization randomly selected one variable from...
Accuracy of the human face contour can help evaluate the facial orientation to retrieve facial features to identifying or verifying a human facial expression. Automatic extraction human face contour algorithm with high accuracy is necessary. In this paper, a novel flowchart of the face contour extraction algorithm was proposed for improving accuracy of face contours. Poisson Gradient Vector Flow (PGVF)...
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