A detection system for three-dimensional visualization of cosmic muons trajectories

2002 ◽  
Vol 73 (11) ◽  
pp. 3975-3981 ◽  
Author(s):  
P. R. B. Marinho ◽  
A. F. Barbosa
Keyword(s):  
Detection System ◽  
Three Dimensional ◽  
Cosmic Muons

Fabrication of Three-Dimensional Micro-Structures with Two-Photon Absorption by Femtosecond Laser

2006 ◽  
Vol 532-533 ◽  
pp. 568-571
Author(s):  
Ming Zhou ◽  
Hai Feng Yang ◽  
Li Peng Liu ◽  
Lan Cai
Keyword(s):  
Photonic Crystal ◽  
Femtosecond Laser ◽  
Detection System ◽  
Three Dimensional ◽  
Photon Absorption ◽  
Micro Fabrication ◽  
Two Photon Absorption ◽  
Two Photon ◽  
Photo Polymerization ◽  
System A

The photo-polymerization induced by Two-Photon Absorption (TPA) is tightly confined in the focus because the efficiency of TPA is proportional to the square of intensity. Three-dimensional (3D) micro-fabrication can be achieved by controlling the movement of the focus. Based on this theory, a system for 3D-micro-fabrication with femtosecond laser is proposed. The system consists of a laser system, a microscope system, a real-time detection system and a 3D-movement system, etc. The precision of micro-machining reaches a level down to 700nm linewidth. The line width was inversely proportional to the fabrication speed, but proportional to laser power and NA. The experiment results were simulated, beam waist of 0.413μm and TPA cross section of 2×10-54cm4s was obtained. While we tried to optimize parameters, we also did some research about its applications. With TPA photo-polymerization by means of our experimental system, 3D photonic crystal of wood-pile structure twelve layers and photonic crystal fiber are manufactured. These results proved that the micro-fabrication system of TPA can not only obtain the resolution down to sub-micron level, but also realize real 3D micro-fabrication.

T1595: Three Dimensional Image Overlay Navigation Using Magnetic Endoscope Detection System for NOTES® and SILS

2010 ◽  
Vol 71 (5) ◽  
pp. AB318 ◽  
Author(s):  
Maki Sugimoto ◽  
Yoshinori Morita ◽  
Tsuyoshi Sanuki ◽  
Hiromu Kutsumi ◽  
Takeshi Azuma
Keyword(s):  
Detection System ◽  
Three Dimensional ◽  
Dimensional Image ◽  
Image Overlay

scholarly journals Wavelet Analysis-Based Texture Analysis of Ceramic Surface Images

2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yanbing Liu ◽  
Bei Zhou ◽  
Xinghua Yang
Keyword(s):  
Fractal Dimension ◽  
Wavelet Analysis ◽  
Light Source ◽  
Detection System ◽  
Fractal Theory ◽  
Three Dimensional ◽  
Surface Profile ◽  
Ceramic Surface ◽  
Fractal Method ◽  
Main Research

This paper is conducted to explore a new characterization method as a supplement to the traditional roughness characterization. The main research includes the extraction and evaluation of damage features of ceramic surface morphology by applying wavelet methods, the extraction of damage features in surface contours by using wavelet analysis, and the quantitative evaluation of damage degree by using damage rate and damage mean spacing. By comparing various fractal dimension calculation methods, a fractal dimension method suitable for calculating the ceramic surface was selected, and the fractal method was used to describe the ceramic surface topography as a whole. By comparing different methods of calculating the fractal dimension and further verifying them with the measured three-dimensional morphology, it is found that the vibrational method is more suitable for calculating the fractal dimension of ceramic surface, and its calculation accuracy is investigated, and the results show that the method is a reliable one. Based on the fractal theory, a mathematical model of surface wear and surface sealing was established. Further study of the model shows that the surface with a large fractal dimension has a good sealing effect; the surface corresponding to the best fractal dimension is the most resistant to wear. The fractal method can characterize the complexity of the surface profile as a whole. The wavelet method can describe the ceramic surface profile from a local perspective, and the combination of the two methods can characterize the ceramic surface well. Finally, the experimental device of the ceramic surface defect detection system is constructed, and the joint debugging of hardware and software is completed. Under different light source intensities, ceramic image samples are collected, and the accuracy detection experiments of sample defective edges are conducted, and the results show that the light source has a small impact on the accuracy of ceramic defective edge detection. The results show that the light source has more influence on the accuracy of scratch detection. The results show that the system constructed in this thesis has good applicability for different ceramic sample detection.

scholarly journals A Comprehensive Analysis of Deep Neural-Based Cerebral Microbleeds Detection System

Electronics ◽  
2021 ◽  
Vol 10 (18) ◽  
pp. 2208
Author(s):  
Maria Anna Ferlin ◽  
Michał Grochowski ◽  
Arkadiusz Kwasigroch ◽  
Agnieszka Mikołajczyk ◽  
Edyta Szurowska ◽  
...  
Keyword(s):  
Machine Learning ◽  
Detection System ◽  
Three Dimensional ◽  
Magnetic Resonance Images ◽  
Cerebral Microbleeds ◽  
Training Data ◽  
Learning Approach ◽  
Dimensional Problem ◽  
Reliable System ◽  
Machine Learning Approach

Machine learning-based systems are gaining interest in the field of medicine, mostly in medical imaging and diagnosis. In this paper, we address the problem of automatic cerebral microbleeds (CMB) detection in magnetic resonance images. It is challenging due to difficulty in distinguishing a true CMB from its mimics, however, if successfully solved, it would streamline the radiologists work. To deal with this complex three-dimensional problem, we propose a machine learning approach based on a 2D Faster RCNN network. We aimed to achieve a reliable system, i.e., with balanced sensitivity and precision. Therefore, we have researched and analysed, among others, impact of the way the training data are provided to the system, their pre-processing, the choice of model and its structure, and also the ways of regularisation. Furthermore, we also carefully analysed the network predictions and proposed an algorithm for its post-processing. The proposed approach enabled for obtaining high precision (89.74%), sensitivity (92.62%), and F1 score (90.84%). The paper presents the main challenges connected with automatic cerebral microbleeds detection, its deep analysis and developed system. The conducted research may significantly contribute to automatic medical diagnosis.

scholarly journals Muometric positioning system (μPS) with cosmic muons as a new underwater and underground positioning technique

2020 ◽  
Vol 10 (1) ◽  
Author(s):  
Hiroyuki K. M. Tanaka
Keyword(s):  
Electromagnetic Waves ◽  
Plate Tectonics ◽  
Three Dimensional ◽  
Positioning System ◽  
Sound Waves ◽  
Cosmic Muons ◽  
Classical Waves ◽  
The Media ◽  
Positioning Technique ◽  
Media Condition

Abstract Thus far, underwater and underground positioning techniques have been limited to those using classical waves (sound waves, electromagnetic waves or their combination). However, the positioning accuracy is strongly affected by the conditions of media they propagate (temperature, salinity, density, elastic constants, opacity, etc.). In this work, we developed a precise and entirely new three-dimensional positioning technique with cosmic muons. This muonic technique is totally unaffected by the media condition and can be universally implemented anywhere on the globe without a signal transmitter. Results of our laboratory-based experiments and simulations showed that, for example, plate-tectonics-driven seafloor motion and magma-driven seamount deformation can be detected with the μPS.

Calibration model and numerical simulation of a 7-hole probe based on pressure–velocity parameterization equation

2021 ◽  
Author(s):  
Tao Yao ◽  
Shu-dao Zhou ◽  
Min Wang ◽  
Yang-chun Zhang ◽  
Song Ye
Keyword(s):  
Numerical Simulation ◽  
Flow Field ◽  
Middle Atmosphere ◽  
Detection System ◽  
Three Dimensional ◽  
Calibration Method ◽  
Calibration Model ◽  
System A ◽  
Probe Calibration ◽  
3D Information

Abstract As a sensor of a flow field detection system, a 7-hole probe can detect the flow field velocity and retrieve three-dimensional (3D) information of the flow field. Owing to its simple structure and strong environmental adaptability, it is particularly important to calibrate it when it is widely used in turbine machinery, aerospace, and other fields. To detect the 3D flow field in the middle atmosphere, a novel calibration method based on the potential flow theory is designed using a hemispherical 7-hole probe. The hemispherical 7-hole probe was numerically calibrated through numerical simulation, and the coefficients of the calibration equation are provided. In comparison with the traditional 7-hole probe calibration method, the calibration process is significantly shortened while maintaining good measurement accuracy. The velocity error was less than 5% and the angle error was approximately 0.5°.

scholarly journals Objective Ventricle Segmentation in Brain CT with Ischemic Stroke Based on Anatomical Knowledge

2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Xiaohua Qian ◽  
Yuan Lin ◽  
Yue Zhao ◽  
Xinyan Yue ◽  
Bingheng Lu ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Domain Knowledge ◽  
Mean Squared Error ◽  
Detection System ◽  
Three Dimensional ◽  
Segmentation Strategy ◽  
Initial Segmentation ◽  
Brain Ventricle ◽  
Sensitivity Specificity ◽  
Ventricle Segmentation

Ventricle segmentation is a challenging technique for the development of detection system of ischemic stroke in computed tomography (CT), as ischemic stroke regions are adjacent to the brain ventricle with similar intensity. To address this problem, we developed an objective segmentation system of brain ventricle in CT. The intensity distribution of the ventricle was estimated based on clustering technique, connectivity, and domain knowledge, and the initial ventricle segmentation results were then obtained. To exclude the stroke regions from initial segmentation, a combined segmentation strategy was proposed, which is composed of three different schemes: (1) the largest three-dimensional (3D) connected component was considered as the ventricular region; (2) the big stroke areas were removed by the image difference methods based on searching optimal threshold values; (3) the small stroke regions were excluded by the adaptive template algorithm. The proposed method was evaluated on 50 cases of patients with ischemic stroke. The mean Dice, sensitivity, specificity, and root mean squared error were 0.9447, 0.969, 0.998, and 0.219 mm, respectively. This system can offer a desirable performance. Therefore, the proposed system is expected to bring insights into clinic research and the development of detection system of ischemic stroke in CT.

Reverse Design and Application of Irregular Planar Part Based on Image Processing

2012 ◽  
Vol 229-231 ◽  
pp. 1706-1709
Author(s):  
Jian Jun Yin ◽  
Jia Qing Lin ◽  
S.Mittal Gauri ◽  
Shuang Li
Keyword(s):  
Image Processing ◽  
Computer Vision ◽  
Computer Aided Design ◽  
Detection System ◽  
Design Method ◽  
Three Dimensional ◽  
Digital Camera ◽  
Solid Modeling ◽  
Vector Model ◽  
Planar Part

By using a computer vision detection system to obtain high resolution images of a machine part, a kind of reverse design method of solid modeling of irregular planar part with aided implementation of computer vision was proposed in this paper, which integrates image processing function of Matlab software with solid modeling function of computer aided design (CAD) software. The method used a calibrated digital camera to get the image of the tested part, a three-dimensional entity vector model may be built up after image inversion, edge detection, vectorization process of binary image and size matching were operated sequentially. The results of image reverse design showed that it is an easy and convenient way to reverse irregular planar parts based on image processing. One of its remarkable advantages is the saving of design period and the reduction of design cost. Its measurement error can be controlled within 0.1 mm, and can meet general precision requirement of application occasions. Reversed parts may provide a model basis for further analysis on mechanism assembling and motion simulation.

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