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Local Stereo Matching Using an VariableWindow, Census Transform and an Edge-preserving Filter
Vinh Quang Dinh,Dung Duc Nguyen,Vinh Dinh Nguyen,Jae Wook Jeon 제어로봇시스템학회 2012 제어로봇시스템학회 국제학술대회 논문집 Vol.2012 No.10
In this paper, we propose an alternative blocking-matching approach to the correspondence problem in stereo matching. In blocking-matching algorithms, a local window is used to measure the similarity (or dissimilarity) between pixels of a stereo pair. Although some area-based stereo matching methods have been developed and work well in many kinds of regions such as textureless or object boundary regions, their performance can degrade when working in some types of radiometric conditions. Our proposed algorithm is an improved method that uses a non-parametric transform in the pre-processing step and an edge-preserving filter in the post-processing step. Input images are first pre-processed by the census transform, which makes the proposed method more robust when the image pair is captured in different light sources or camera exposure conditions. The window cost in our approach is computed from the transformed images using the Hamming distance, and the correspondence is finally chosen by a Winner-Takes-All strategy. The experimental results for the Middleburry images show that the proposed method outperforms test local stereo methods in radiometrically different images.
Vinh Ba-Quang Nguyen,김윤태 대한토목학회 2020 KSCE JOURNAL OF CIVIL ENGINEERING Vol.24 No.1
Rainfall and earthquakes are two major triggers for landslides. To assess annual rainfall-earthquake-induced landslide hazards, an ensemble model containing three modules: an uncertainty-analysis module, a simulation module and an output module was proposed. In the uncertainty-analysis module, the input parameters including the topography (slope, curvature), soil depth, rainfall, peak ground acceleration and soil physical properties were considered probabilistic rather than taking specific values. A rainfall-earthquake-induced landslide hazard assessment was carried out in the simulation module, which used two separate methods: a pseudo-static model and a Newmark displacement model based on probabilistic data, which were prepared in the uncertainty-analysis module using the Monte Carlo simulation technique. In the output module, the two landslide hazard evaluations were combined into one map. The combined landslide hazard provides a range of annual probabilities of landslide occurrence corresponding to specific confidence levels. The proposed model can be used for reliable forecasting at specific confidence levels.
Nguyen, Ba-Quang-Vinh,Lee, Seung-Rae,Kim, Yun-Tae Catena Verlag 2020 Catena Vol.187 No.-
<P><B>Abstract</B></P> <P>Increased pore-water pressure due to rainfall infiltration and cyclic loading is a major cause of slope instability. Many studies have been carried out to assess rainfall-induced landslide spatial probability based on physical models, combining hydrological models to analyze changes in pore-water pressure on slopes due to rainfall. However, the generation of pore-water pressure due to seismic loading is often disregarded during assessments of earthquake-induced landslide susceptibility. Hence, in this paper, we propose a model to assess landslide spatial probability that takes into account increased pore-water pressure during both rainfall and earthquakes. The procedure for the proposed method includes two main steps. In step 1, we analyze the change in the groundwater table due to rainfall infiltration and subsurface flow during rainfall. In step 2, the slope safety factor is calculated using an infinite slope model, considering the generation of excess pore-water pressure under cyclic loading during earthquakes. Landslide spatial probability is established based on the slope factor of safety. We validated the proposed model by analyzing rainfall-earthquake-induced landslide events occurring on September 6, 2018 in Atsuma town, Japan. According to our results, the area under the receiver operating characteristic curve of the Atsuma landslide data is 82.4% and the true-positive rate of unstable slope classification is 98.1%. The proposed model was then applied to Mt. Umyeon, Korea, to assess the spatial probability of rainfall-earthquake-induced landslide. Our model classifies the likelihood of landslide occurrence according to four susceptibility levels: high, moderate, low and very low. We also compared our results to those of previous models and show that the proposed approach may provide reasonably accurate predictions of landslide spatial probability during rainfall and earthquake events.</P> <P><B>Highlights</B></P> <P> <UL> <LI> Considering the change in pore-water pressure due to rainfall and earthquake. </LI> <LI> Good performance with real landslide events in Atsuma. </LI> <LI> Cumulative rainfall strongly affect the area of susceptibility class. </LI> <LI> Peak ground acceleration strongly affect the area of susceptibility class. </LI> <LI> Excess pore-water pressure is the main reason for slope instability. </LI> </UL> </P>
Interactive Visualization for Patient-to-Patient Comparison
Quang Vinh Nguyen,Guy Nelmes,Mao Lin Huang,Simeon Simoff,Daniel Catchpoole 한국유전체학회 2014 Genomics & informatics Vol.12 No.1
A visual analysis approach and the developed supporting technology provide a comprehensive solution for analyzing largeand complex integrated genomic and biomedical data. This paper presents a methodology that is implemented as aninteractive visual analysis technology for extracting knowledge from complex genetic and clinical data and then visualizingit in a meaningful and interpretable way. By synergizing the domain knowledge into development and analysis processes, wehave developed a comprehensive tool that supports a seamless patient-to-patient analysis, from an overview of the patientpopulation in the similarity space to the detailed views of genes. The system consists of multiple components enabling thecomplete analysis process, including data mining, interactive visualization, analytical views, and gene comparison. Wedemonstrate our approach with medical scientists on a case study of childhood cancer patients on how they use the tool toconfirm existing hypotheses and to discover new scientific insights.