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Efficient Convex Optimization Approaches to Variational Image Fusion

Numerical Mathematics(Theory,Methods and Applications) 2014年第2期7卷 234-250页

作者： Jing Yuan brandon miles Greg Garvin Xue-Cheng Tai Aaron Fenster Medical Imaging Lab Robarts Research InstituteUniversity of Western OntarioLondon ONCanada N6A 5B7 Department of Medical Imaging St Jospeh’s HealthCareLondon ONCanada Department of Mathematics University of BergenBergenNorway

Image fusion is an imaging technique to visualize information from multiple imaging sources in one single image,which is widely used in remote sensing,medical imaging *** this work,we study two variational approaches to image fusion which are closely related to the standard TV-L_(2) and TV-L_(1) image approximation *** investigate their convex optimization formulations,under the perspective of primal and dual,and propose their associated new image decomposition *** addition,we consider the TV-L_(1) based image fusion approach and study the specified problem of fusing two discrete-constrained images f_(1)(x)∈L_(1) and f_(2)(x)∈L_(2),where L_(1) and L_(2) are the sets of linearly-ordered discrete *** prove that the TV-L_(1) based image fusion actually gives rise to the exact convex relaxation to the corresponding nonconvex image fusion constrained by the discretevalued set u(x)∈L_(1)∪L_(2).This extends the results for the global optimization of the discrete-constrained TV-L_(1) image approximation[8,36]to the case of image *** a big numerical advantage of the two proposed dual models,we show both of them directly lead to new fast and reliable algorithms,based on modern convex optimization *** with medical images,remote sensing images and multi-focus images visibly show the qualitative differences between the two studied variational models of image *** also apply the new variational approaches to fusing 3D medical images.

关键词： Convex optimization primal-dual programming combinatorial optimization totalvariation regularization image fusion

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Risk Factors Associated with Non-Compliance with Respiratory Protection Programs among Firefighters

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Occupational Diseases and Environmental Medicine 2020年第4期8卷 135-148页

作者： brandon Dawkins Giffe T. Johnson Raymond D. Harbison Center for Environmental and Occupational Risk Analysis and Management College of Public Health University of South Florida Tampa FL USA

Non-compliance with respiratory protection programs among firefighters may put them at increased risk of injury and illness from occupational exposures during fire extinguishing activities. This research aims to characterize respiratory protection practices among Florida firefighters. This information will allow better understanding of factors that are associated with non-compliance with respiratory protection guidelines. A survey questionnaire was used to characterize Florida fire departments in this cross-sectional study. Four hundred and seventy-seven surveys were administered to Florida firefighters both in person and electronically to collect information regarding firefighter knowledge and participation in their respective respiratory protection programs during the past twelve months. Survey questions were developed from the model set by the National Fire Protection Association (NFPA) which provides standards and regulations regarding firefighter protections. Summary statistics regarding firefighter department size, coverage area, and firefighter employment type were produced. Multinomial logistic regression analysis was performed to evaluate factors that impact respiratory protection programs. The 477 respondents were 91% male with a mean age of 39 years old (range 21 - 65 years). The majority of respondents, 76%, were non-smokers, 21% former smokers, and 3% current smokers. In regard to ethnicity, respondents were 77% Caucasian, 13% Hispanic, 3% African American, and 4% other. Most respondents were career firefighters, 97%, with less than ten years of experience, 44%, working in a fire department with at least 21 firefighters, 98%. Most respondents, 80%, had a written respiratory program in place. The most cited reason for not having implemented a written respiratory protection program was lack of knowledge related to the program. Multinomial logistic regression analysis of departments with response areas of at least 250,000 square miles produced a statistica

关键词： Fire Department Fit Testing National Fire Protection Association Respirator Respiratory Protection

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