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A speech for the luminiferous ether  [PDF]
Norbert Feist
Physics , 2001,
Abstract: There is no aberration of terrestrial sources, because the light-vector has an inertial component. A new analysis of the Michelson Morley experiment shows: Light propagates anisotropically relative to a moving system, dependent on the velocity and the angle between the velocity and the direction of motion. The two way (back and forth) velocity is isotropic, but also dependent on the velocity of the frame. There is no Lorentz contraction. - A real ultrasonic experiment shows: Also the propagation of sound follows the given general conical section equation and an acoustical Michelson Morley experiment gives the same zero result as the optical experiment in contrast to the school of thought. - The theory of relativity is incorrect and the existence of a luminiferous ether as a propagation medium and an absolute frame of reference is again obvious. Some properties of the ether and a fundamental cause of the dependency of the velocity on the mass and the frequency are presented.
Entrainment of Luminiferous Medium with Massive Solids
Alexander I. Korolev
Open Access Library Journal (OALib Journal) , 2017, DOI: 10.4236/oalib.1104051
Experiments on searching the space flows of luminiferous medium through Sagnac interferometer have been conducted. To do this, in one of the interferometer arms the inhomogeneity has been introduced in the form of a transparent tube with distilled water. The difference in speeds of the interferometer was registered in relation to the medium when changing the tube orientation from S-N to W-E: By shifting the interference fringe on the screen. Measurements were carried out in two places: 30.2 East longitude/60.5 North latitude at a height of 165 m above sea level; 41.3 East longitude/43.6 North latitude at height 2850 m. Flows with speeds > 45 m/s were not observed. The result is explained by entrainment of the medium due to gravitational attraction to the Earth, the Sun and Center of the Milky Way: Similar to how it happens to other physical medium.
A Meshless Method for Variational Nonrigid 2-D Shape Registration  [PDF]
Wei Liu,Eraldo Ribeiro
Computer Science , 2011,
Abstract: We present a method for nonrigid registration of 2-D geometric shapes. Our contribution is twofold. First, we extend the classic chamfer-matching energy to a variational functional. Secondly, we introduce a meshless deformation model that can handle significant high-curvature deformations. We represent 2-D shapes implicitly using distance transforms, and registration error is defined based on the shape contours' mutual distances. In addition, we model global shape deformation as an approximation blended from local deformation fields using partition-of-unity. The global deformation field is regularized by penalizing inconsistencies between local fields. The representation can be made adaptive to shape's contour, leading to registration that is both flexible and efficient. Finally, registration is achieved by minimizing a variational chamfer-energy functional combined with the consistency regularizer. We demonstrate the effectiveness of our method on a number of experiments.

Cheng Fang,Zhu Minhui,Wu Yirong,

电子与信息学报 , 2001,
Abstract: To counter the disadvantage of polynomial method for image registration, this paper studies the image registration method applying orthogonal polynomials and weighted orthogonal polynomials. The results show that the method of orthogonal polynomials is more flexible; and the method of weighted orthogonal polynomials has good local characters. Finally, the experimental results of these methods are compared and testified.
A Fast and Accurate Nonlinear Spectral Method for Image Recognition and Registration  [PDF]
Luciano da Fontoura Costa,Erik Bollt
Computer Science , 2006, DOI: 10.1063/1.2358325
Abstract: This article addresses the problem of two- and higher dimensional pattern matching, i.e. the identification of instances of a template within a larger signal space, which is a form of registration. Unlike traditional correlation, we aim at obtaining more selective matchings by considering more strict comparisons of gray-level intensity. In order to achieve fast matching, a nonlinear thresholded version of the fast Fourier transform is applied to a gray-level decomposition of the original 2D image. The potential of the method is substantiated with respect to real data involving the selective identification of neuronal cell bodies in gray-level images.
Elastic Point Registration Method Based on B-splines

PENG Xiao-ming,CHEN Wu-fan,MA Qian,

中国图象图形学报 , 2007,
Abstract: Elastic registration is a difficult problem in image registration technology. An elastic point registration method using the Hausdorff distance is presented in this paper. With B-splines as the deformation model, the proposed method is able to handle elastic deformations between the images to be registered. Since no correspondence is required to be established between two point sets, the method is robust to outliers. In addition, a sequential updating strategy is introduced to further speed up the elastic registration method by dividing the source image and the grid of control points into separate blocks. The performance of the proposed method is demonstrated and validated in three experiments, a synthetic image registration experiment, a hand-drawn character registration experiment, and a brain MRI image registration experiment. While these results are somewhat preliminary, they clearly demonstrate the applicability of our method to real world tasks involving feature-based elastic registration.
An Approach for registration method to find corresponding mass lesions in temporal mammogram pairs
Prof. Samir Kumar Bandyopadhyay
International Journal of Computer Technology and Applications , 2010,
Abstract: Radiologists generally use multiple mammographic views to detect and characterize suspiciousregions. When radiologists discover a suspicious lesion in one view, they try to find a corresponding lesion in the other views. Views from different projections, typically cranio caudal (CC) and medio lateral oblique (MLO) views, allow for a better realization of the lesion. Most current computer aided detection (CAD) systems differ considerably from radiologists in the way they use multiple views. These systems do not combine information from available views but instead analyse each view separately. Given the positive effect of multiview systems on radiologists' performance we expect that fusion of information from different views will improve CAD systems as well. Such multi-view CAD programs require regional registration methods to find corresponding regions in all available views. In this paper we concentrate on developing such a method for corresponding mass lesions in prior and In other words, starting from a current image containing a mass lesion, the method aims at locating the same mass lesion in the prior image. The method was tested on a set of 412 cancer cases. In each case a malignant mass, architectural distortion or asymmetry was annotated. In 92% of these cases the candidate mass detections by CAD included the cancer regions in both views. It was found that in 82% of the cases a correct link between the true. Positive regions in both views could be established by our method.Key words: Multiple View, Computer-Aided Detection, masses, mammography
Evaluation of Image Enhancement Method on Target Registration Using Cone Beam CT in Radiation Therapy
Hui Yan,Ren Lei,Jackie Wu,Fu Di
Clinical Medicine : Oncology , 2008,
Abstract: An intensity based six-degree image registration algorithm between cone-beam CT (CBCT) and planning CT has been developed for image-guided radiation therapy (IGRT). CT images of an anthropomorphic chest phantom were acquired using conventional CT scanner and corresponding CBCT was reconstructed based on projection images acquired by an on-board imager (OBI). Both sets of images were initially registered to each other using attached fudicial markers to achieve a golden standard registration. Starting from this point, an offset was applied to one set of images, and the matching result was found by a gray-value based registration method. Finally, The registration error was evaluated by comparing the detected shifts with the known shift. Three window-level (WL) combinations commonly used for image enhancement were examined to investigate the effect of anatomical information of Bony only (B), Bone+Tissue (BT), and Bone+Tissue+Air (BTA) on the accuracy and robustness of gray-value based registration algorithm. Extensive tests were performed in searching for the attraction range of registration algorithm. The widest attraction range was achieved with the WL combination of BTA. The average attraction ranges of this combination were 73.3 mm and 81.6 degree in the translation and rotation dimensions, respectively, and the average registration errors were 0.15 mm and 0.32 degree. The WL combination of BT shows the secondary largest attraction ranges. The WL combination of B shows limited convergence property and its attraction range was the smallest among the three examined combinations (on average 33.3 mm and 25.0 degree). If two sets of 3D images in original size (512 × 512) were used, registration could be accomplished within 10~20 minutes by current algorithm, which is only acceptable for off-line reviewing purpose. As the size of image set reduced by a factor of 2~4, the registration time would be 2~4 minutes which is feasible for on-line target localization.
New Fully Automatic Fast Registration Method for 2D Computed Tomography Images  [PDF]
C.G. Ravichandran,G. Ravindran
Information Technology Journal , 2007,
Abstract: This research proposes and implements a new fully automatic fast registration method for 2D Computed Tomography images. In this proposed method, the images are smoothened and edges are detected using Laplacian of Gaussian filter. Fast Fourier transform is applied to the source and reference images to split the phase and magnitude. The registered image is reconstructed using Inverse Fourier Transform. The proposed method is found to have salient features namely, less human interaction, significant reduction in computational speed and provides very precise image registration with sub-pixel accuracy when compared with the traditional approaches.
Novel image registration method based on wavelet transform

TANG Bin-bing,CHEN Tuan-qiang,WANG Zheng-ming,

计算机应用 , 2007,
Abstract: Image registration is one of the crucial steps in the fusion processing of image. Image registration, especially for remote sensing image, requires intensive computational efforts while the registration precision is not satisfying generally. This paper introduces a novel image registration method based on the wavelet with excellent performance. The method reduces the data to search via decomposing the image to several effectual subimages by the wavelet, then reduces the searching space through multi-resolution analysis, and refine the solution using an iterative refinement algorithm finally. Experimental results of remote sensing and optical images show that the proposed algorithm outperforms conventional approaches in terms of both computational effort and precision.
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