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The computer-aided diagnostic (CAD) system can greatly influence the early detection of lung cancer in radiographs and computed tomography (CT) images. And the automatic nodule detection plays an important role in the CAD systems. This paper proposed a new enhancement filter (3D multi-scale Block LBP Filter) to detect the nodules in the lung regions. By taking advantages of the nodule regions' pixel...
Rail track extraction from the image can be used to determine the position of the rails ahead of a train, which is one of the fundamental tasks for vision-based driver support systems in railways. This paper introduces a method that extracts rails by matching the edge features of the real image to the candidate rail patterns which is parameterically modeled, and the geometric constraints of the rail...
In the research area of community detection which aims at detecting some highly cohesive vertex subsets in social network, there mainly exist some problems, such as the algorithms with comparatively excellent quality of the final partitioning usually have high time complexity and some other fast algorithms often result in low quality of partitioning or other disadvantages. Nowadays, the increasing...
Nodule detection is a vital step in computer-aided diagnosis (CAD) system, for its accuracy can greatly influence the reliability of the system. Many researchers have proposed lots of effective filters to detect nodules. However, these filters have limitations, such as changing the nodules shapes and sizes. This paper proposes a modified Difference of Gaussian (DoG) detector for pulmonary nodule location...
Image segmentation in the big data context is a hot topic in the field of image understanding. Contrary to traditional computing paradigm with precise description of problems, Granular Computing (GrC) is studied by utilizing the toleration of imprecise, incomplete, uncertain and mass information to make systems manageable, robust, low-cost and harmonious. Thus it is an efficient measure to simplify...
This work investigate the full energy and total efficiencies of large volume CdZnTe detectors. The efficiencies of three 20 mm × 20 mm × 15 mm pixelated CdZnTPe detectors were measured using the H3Dv2 Application Specific Integrated Circuit (ASIC) readout system developed by Brookhaven National Laboratory with un-collimated 241Am, 137Cs, and 60Co sources. One detector was made by eV-Products while...
Semi-Supervised Classification (SSC), which makes use of both labeled and unlabeled data to determine classification borders in feature space, has great advantages in extracting classification information from mass data. In this paper, a novel SSC method is proposed based on Remote Sensing Image character, which utilizes both spacial and spectrum feature relationship between labeled and unlabeled...
Wavelet multiresolution analysis allows us to detect edges at different scales, also to obtain other important aspects of the extracted edges. However, due to the usual two-dimensional tensor product, wavelet transform is not optimal for representing images. The main problem in edge detection using wavelet transform is that it can only capture point-singularities, and the extracted edges are not continuous...
The neighborhood structure of a pixel in an image can be described more accurately by its two principal curvatures than its gradient or mean curvature-based estimation. Based on this idea, we propose a novel method - minimum principal curvature-driven diffusion, in which the two principal curvatures are used in a curvature-driven diffusion equation for image filtering. The main advantage of the proposed...
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