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Videos taken in the wild sometimes contain unexpected rain streaks, which brings difficulty in subsequent video processing tasks. Rain streak removal in a video (RSRV) is thus an important issue and has been attracting much attention in computer vision. Different from previous RSRV methods formulating rain streaks as a deterministic message, this work first encodes the rains in a stochastic manner,...
Statistical shape models generally characterize shape variations linearly by principal component analysis (PCA), which assumes that the non-rigid shape parameters are drawn from a Gaussian distribution. This practical assumption is often not valid. Instead, we propose a constrained local model based on independent component analysis (ICA) and use kernel density estimation (KDE) for non-parametrically...
Pectus excavatum (PE) is the most common major congenital deformity that involves the lower sternum and cartilages. Noncontrast CT is useful to assess the deformity of the bones and guide minimally invasive surgery. However, it has very poor visibility of cartilages even for the experienced clinicians who need to assess the 3D geometry of cartilages. In this study, we propose a novel method to estimate...
Wireless Capsule Endoscopy (WCE) is a novel imaging technique for the investigation of the entire small bowel. It produces over 50,000 images per examination. It is a highly time-consuming and labor tedious task to review such a large amount of images. Recent research has focused on developing computer aided diagnosis (CAD) systems to reduce the heavy burden of physicians. In this paper, we propose...
To solve the question of the traditional points in image retrieval, a robust and self-adaptive point extraction algorithm is proposed in this paper. The block difference of inverse probabilities (BDIP) image is firstly obtained from the original image based on the BDIP model. According to the distribution feature of the BDIP image, the local points are extracted. Then, the color-spatial feature surrounding...
Wireless Capsule Endoscopy (WCE) is a state-of-the-art technology to examine the entire gastrointestinal tract. Its main disadvantage is long review time for physicians to diagnose diseases, as it will produce over 55,000 frames per patient for one examination. In this paper we propose a novel strategy to segment WCE video clips based on abnormality. The new scheme is based on a non-parametric corner...
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