Combining Non-Rigid Registration with Non-Local Principle Component Analysis for Atomic Resolution EDS Mapping
نویسندگان
چکیده
Chenyu Zhang, Albert Oh, Andrew Yankovich, Thomas Slater, Sarah Haigh, Rebecca Willett, Paul M. Voyles 1. Department of Materials Science and Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA 2. Department of Electrical and Computer Engineering, University of Wisconsin-Madison, Madison, WI, 53706, USA 3. Department of Physics, Chalmers University of Technology, Gothenburg, Sweden 4 School of Materials, University of Manchester, Manchester, M13 9PL, UK.
منابع مشابه
Compensation of brain shift during surgery using non-rigid registration of MR and ultrasound images
Background: Surgery and accurate removal of the brain tumor in the operating room and after opening the scalp is one of the major challenges for neurosurgeons due to the removal of skull pressure and displacement and deformation of the brain tissue. This displacement of the brain changes the location of the tumor relative to the MR image taken preoperatively. Methods: This study, which is done...
متن کاملInvestigation of General and Specific Combining Ability and Genetic Analysis of Different Traits of Bread Wheat under Non-Stress and Drought Stress Conditions
The production of new and compatible cultivars to different environments is one of the most important goals for the breeders. The crossing new cultivars and the selection of superior genotypes for desirable traits among their offspring is a method that has always been used by breeders. 28 genotypes obtained from the crossing of a 7 × 7 one-way diallel experiment consisting of seven parents (Alv...
متن کاملOptimized co-registration method of Spinal cord MR Neuroimaging data analysis and application for generating multi-parameter maps
Introduction: The purpose of multimodal and co-registration In MR Neuroimaging is to fuse two or more sets images (T1, T2, fMRI, DTI, pMRI, …) for combining the different information into a composite correlated data set in order to visualization, re-alignment and generating transform to functional Matrix. Multimodal registration and motion correction in spinal cord MR Neuroimag...
متن کاملبهبود سرعت "انطباق مبتنی بر روش برش گراف" جهت انطباق غیر صلب تصاویر تشدید مغناطیسی مغز
Image processing methods, which can visualize objects inside the human body, are of special interests. In clinical diagnosis using medical images, integration of useful data from separate images is often desired. The images have to be geometrically aligned for better observation. The procedure of mapping points from the reference image to corresponding points in the floating image is called Ima...
متن کاملIterative Weighted Non-smooth Non-negative Matrix Factorization for Face Recognition
Non-negative Matrix Factorization (NMF) is a part-based image representation method. It comes from the intuitive idea that entire face image can be constructed by combining several parts. In this paper, we propose a framework for face recognition by finding localized, part-based representations, denoted “Iterative weighted non-smooth non-negative matrix factorization” (IWNS-NMF). A new cost fun...
متن کامل