Adaptive defect detection of 3D image of nano CT based on wavelet decomposition

2021 ◽  
pp. 1-15
Author(s):  
Shirong Zhang ◽  
Lian Wu
Keyword(s):  
Defect Detection ◽  
Wavelet Decomposition ◽  
Detection Method ◽  
Design Method ◽  
Three Dimensional ◽  
Image Sequence ◽  
Adaptive Detection ◽  
3D Image ◽  
Dimensional Image ◽  
Image Defect

The defect detection of 3D image of nano CT under different interference has the phenomenon of prominent dislocation. Therefore, an adaptive detection method of 3D image defect of nano CT based on wavelet decomposition is proposed. Analyze the noise of three-dimensional image of nano CT, determine the mixed filtering of image sequence according to the different noise properties, evaluate the mixed filtering of image sequence, complete the preprocessing of three-dimensional image of nano CT, fuse the three-dimensional image of nano CT decomposed by wavelet after preprocessing, enhance the image after decomposition, and realize the defect adaptive detection through the characteristics of wavelet decomposition. The experimental results show that the design method can effectively detect the interference and solve the problems of traditional methods.

Fast 3D image reconstruction algorithm based on artificial intelligence technology

2021 ◽  
pp. 002072092098504
Author(s):  
An Weigang ◽  
Pan Jinxiao
Keyword(s):  
Artificial Intelligence ◽  
High Resolution ◽  
Image Reconstruction ◽  
Three Dimensional ◽  
Feature Analysis ◽  
3D Image ◽  
3D Images ◽  
Dimensional Image ◽  
Fine Grained ◽  
3D Image Reconstruction

In order to improve the 3D reconstruction capability of high-resolution fine-grained 3D images, a fast 3D image reconstruction algorithm based on artificial intelligence technology is proposed. The cross-gradient sharpening detection method is used to collect features and extract information from high-resolution fine-grained three-dimensional images, and establish an edge contour feature detection model for high-resolution fine-grained three-dimensional images. Combining the salient feature analysis method and the subspace feature analysis method to cluster and analyze the high-resolution fine-grained three-dimensional image. In the artificial intelligence environment, the saliency of the three-dimensional image is detected and analyzed, and the multi-dimensional segmentation and gray histogram of the high-resolution fine-grained three-dimensional image are reconstructed through the subspace segmentation method. According to the reconstruction results of the gray histogram, fast 3D image reconstruction and image fusion processing are performed. Finally, the accurate detection and recognition of the reconstructed image is realized. The simulation results show that this method has a good effect on 3D image reconstruction, and the time cost of image reconstruction is relatively short. It improves the recognition and feature analysis capabilities of high-resolution fine-grained 3D images, and has good application value in the reconstruction, detection and recognition of high-resolution fine-grained 3D images.

scholarly journals Virtual Reconstruction Method of Regional 3D Image Based on Visual Transmission Effect

Complexity ◽  
2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Jing Yin ◽  
Jong Hoon Yang
Keyword(s):  
User Experience ◽  
Communication Technology ◽  
Visual Communication ◽  
Three Dimensional ◽  
3D Image ◽  
Three Dimensional Reconstruction ◽  
Dimensional Image ◽  
Virtual Reconstruction ◽  
Dimensional Reconstruction ◽  
Hardware Structure

In order to solve the problems of poor user experience and low human-computer interaction efficiency, this paper designs a 3D image virtual reconstruction system based on visual communication effects. First, the functional framework diagram and hardware structure diagram of the image 3D reconstruction system are given. Then, combined with the basic theory of visual communication design, the characteristics of different elements in the three-dimensional image system and reasonable visual communication forms are analyzed, and design principles are proposed to improve user experience and communication efficiency. After the input image is preprocessed by median filtering, a three-dimensional reconstruction algorithm based on the image sequence is used to perform a three-dimensional reconstruction of the preprocessed image. The performance of the designed system was tested in a comparison form. We optimize the original hardware structure, expand the clock module, and use the chip to improve the data processing efficiency; in the two-dimensional image; we read the main information, through data conversion, display it in three-dimensional form, select the feature area, extract the image feature, calculate the key physical coordinate points, complete the main code compilation, use visual communication technology to feed back the display visual elements to the 3D image, and complete the design of the 3D image virtual reconstruction system. The test results showed that the application of visual communication technology to the virtual reconstruction of 3D images can effectively remove noise and make the edge area of the image clear, which can meet the needs of users compared with the reconstruction results of the original system. Visual C++ and 3DMAX are used as the system design platform, and three-dimensional image visualization and roaming are realized through OpenGL. Experimental results show that the designed system has better reconstruction accuracy and user satisfaction.

Real Three-Dimensional Image Projection System Based on the Volumetric 3D Display Principles and the WPF Framework

2013 ◽  
Vol 427-429 ◽  
pp. 1436-1439
Author(s):  
Guo Ping
Keyword(s):  
Three Dimensional ◽  
Image Display ◽  
3D Image ◽  
3D Display ◽  
Projection System ◽  
3D Images ◽  
Holographic Image ◽  
Dimensional Image ◽  
Naked Eye ◽  
Revelation Principle

The real projection system image of 3D Rotating cones based on the Volumetric 3D revelation principle and WPF platform is the true image. Compared with conventional 3D display, this system has the naked eye 3D display, so the viewer is no need to wear 3D glasses and 3D display can be achieved .At the same time, this system has a 360-degree holographic image display. The system is designed by using WPF 3D image, which makes it easy to produce 3D images.

Criteria and Methods for Reliable Three-Dimensional Image Reconstruction

1974 ◽  
Vol 32 ◽  
pp. 330-331
Author(s):  
R. A. Crowther
Keyword(s):  
Image Reconstruction ◽  
Finite Number ◽  
Density Distribution ◽  
Electron Micrographs ◽  
Mathematical Problem ◽  
Three Dimensional ◽  
Ideal Case ◽  
Dimensional Image ◽  
General Object ◽  
The Ideal

The reconstruction of a three-dimensional image of a specimen from a set of electron micrographs reduces, under certain assumptions about the imaging process in the microscope, to the mathematical problem of reconstructing a density distribution from a set of its plane projections.In the absence of noise we can formulate a purely geometrical criterion, which, for a general object, fixes the resolution attainable from a given finite number of views in terms of the size of the object. For simplicity we take the ideal case of projections collected by a series of m equally spaced tilts about a single axis.

A Three-dimensional Camera: Development and Applications of a Three-dimensional Image Measurement System

2011 ◽  
Vol 131 (2) ◽  
pp. 320-328 ◽  
Author(s):  
Cunwei Lu ◽  
Hiroya Kamitomo ◽  
Ke Sun ◽  
Kazuhiro Tsujino ◽  
Genki Cho
Keyword(s):  
Measurement System ◽  
Three Dimensional ◽  
Image Measurement ◽  
Dimensional Image
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