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The detection of fastener defects is an important task in railway inspection systems, and it is frequently performed to ensure the safety of train traffic. Traditional inspection is usually operated by trained workers who walk along railway lines to search for potential risks. However, the manual inspection is very slow, costly, and dangerous. This paper proposes an automatic visual inspection system...
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...
Image segmentation can be viewed as the problem of topic assignment, in which pixels are grouped into regions with respect to the topic model of textures and real-world semantic meanings. In this paper, we apply a novel hierarchical topic model, which builds a multi-level image representation covers texture and semantic region, to image segmentation. Specifically, the proposed method firstly assigns...
Textures of land covers provide significant evidences for segmentation and classification. Inspired by resent researches on topic model, we work on a novel texture segmentation method for very high resolution (VHR) remote sensing images based on Latent Dirichlet Allocation (LDA). In order to model spatial relationship between words in LDA, a constraint random variable which is used to control the...
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