scholarly journals Parameter Measurement of Biaxial Braided Composite Preform Based on Phase Congruency

2019 ◽  
Vol 19 (1) ◽  
pp. 8-16
Author(s):  
Zhitao Xiao ◽  
Lei Pei ◽  
Fang Zhang ◽  
Ying Sun ◽  
Lei Geng ◽  
...  
Keyword(s):  
Automatic Measurement ◽  
Detection Algorithm ◽  
High Accuracy ◽  
Block Matching ◽  
Experimental Results ◽  
Corner Detection ◽  
New Method ◽  
Two Dimensional ◽  
Phase Congruency ◽  
Braided Composite

Abstract In this paper, a new method based on phase congruency is proposed to measure pitch lengths and surface braiding angles of two-dimensional biaxial braided composite preforms. Lab space transform and BM3D (block-matching and 3D filter) are used first to preprocess the original acquired images. A corner detection algorithm based on phase congruency is then proposed to detect the corners of the preprocessed images. Pitch lengths and surface braiding angles are finally measured based on the detected corner maps. Experimental results show that our method achieves the automatic measurement of pitch lengths and the surface braiding angles of biaxial braided composite preforms with high accuracy.

scholarly journals Surface parameters measurement for braided composite preform based on gray projection

2019 ◽  
Vol 14 ◽  
pp. 155892501988762
Author(s):  
Lei Pei ◽  
Zhitao Xiao ◽  
Lei Geng ◽  
Jun Wu ◽  
Fang Zhang ◽  
...  
Keyword(s):  
Three Dimensional ◽  
Automatic Measurement ◽  
Block Matching ◽  
Original Image ◽  
Phase Congruency ◽  
Average Surface ◽  
Braided Composite ◽  
Edge Direction ◽  
Pitch Length ◽  
Braiding Angle

In this article, a method based on gray projection is proposed for automatic measurement of surface braiding angle and pitch length of braided composite preforms. The surface braiding angles are measured by rotated gray projection. First, the original image is preprocessed using Lab transform and block-matching and three-dimensional filter. Then, edge map of gray scale is acquired based on phase congruency and non-maximum suppression. Third, edge direction angles are computed by image rotation and gray projection. Finally, the average surface braiding angles are measured from the edge direction angles. The pitch lengths are measured by cropped gray projection. First, the original image is filtered by an artistic edge and corner enhancing filter. Second, block images are cropped based on gray projection. Finally, pitch lengths are measured by block images gray projection. Experimental results show that the proposed method can achieve the automatic measurement of average surface braiding angle and average pitch length of two-dimensional braided composite preform with high accuracy.

A New Method for Roundness Control in Taper Turning Using FCC Techniques

2000 ◽  
Vol 123 (4) ◽  
pp. 567-575 ◽  
Author(s):  
Eric H. K. Fung ◽  
S. M. Yang
Keyword(s):  
Real Time ◽  
Error Compensation ◽  
Experimental Results ◽  
New Method ◽  
Two Dimensional ◽  
Turning Operations ◽  
Roundness Error ◽  
Compensatory Control ◽  
Modeling And Forecasting ◽  
Arma Modeling

This paper describes a methodology of online measuring and compensating spindle error motions without using a precalibrated master. The method is based on a combination of forecasting compensatory control (FCC) and error separation techniques. The real time recursive ARMA modeling technique is used for the modeling and forecasting of workpiece errors while the error compensation is performed by means of two-dimensional piezo-actuated tool movements. Experimental results have shown that an improvement of 42–47 percent was achieved for the roundness error of workpieces in the taper turning operations.

Research for an Automatic Measurement System for Centroidal Deviation of Projectiles Based on Three Points Method

2010 ◽  
Vol 26-28 ◽  
pp. 1-4
Author(s):  
Guo Nian Yao ◽  
Jun Hu Wei ◽  
Hao Sun ◽  
Guo Ji Sun
Keyword(s):  
Quantitative Analysis ◽  
Measurement System ◽  
Automatic Measurement ◽  
High Accuracy ◽  
Experimental Results ◽  
Factors Affecting ◽  
Automatic Measurement System ◽  
Working Principle ◽  
Main Factors ◽  
Relevant Calculation

In order to improve the measuring accuracy and efficiency of projectiles’ centroidal deviation, the working principle and the relevant calculation formulae based on three points method are described in detail, the main factors affecting precision are discussed and quantitative analysis on precision of the equipment is made. The measuring platform with automatic leveling and locating based on the arc locating and so on are put forward to reduce error. The experimental results show that the system can satisfy the requirement for measuring with high accuracy. The equipment plays a very important role in testing ordnance, especially for measuring regular projectiles.

Research of Corner Detection Algorithm with Stack Volume Measurement

2012 ◽  
Vol 508 ◽  
pp. 271-274
Author(s):  
Peng Xin Zhang ◽  
Wei Min Yang ◽  
Chun Chen
Keyword(s):  
Three Dimensional ◽  
Volume Measurement ◽  
Detection Algorithm ◽  
Experimental Results ◽  
Corner Detection ◽  
Three Dimensional Reconstruction ◽  
Dimensional Reconstruction

In this paper, the comparation and analysis of the conner detection algorithm used in the three-dimensional reconstruction were made .Also the improvement and optimization to the parameters of harris algorithm were done. It is concluded that the hariis algorithm improved had a better effect ,simpler operation and better stability in the measurement of material stack volume measurement through the experimental results.

Prediction of Aero Engine Fault by Relative Vector Machine and Genetic Algorithm Model

2014 ◽  
Vol 998-999 ◽  
pp. 1033-1036
Author(s):  
Jian Wang ◽  
Xiao Hu Duan ◽  
Yan Li ◽  
Peng Bai
Keyword(s):  
Genetic Algorithm ◽  
Effective Properties ◽  
High Accuracy ◽  
Experimental Results ◽  
New Method ◽  
Oil Analysis ◽  
Maintenance Costs ◽  
Vector Machines ◽  
Aero Engine ◽  
Genetic Algorithm Model

Diagnosis of engine fault is critical in reducing maintenance costs. A new method which incorporates hybrid relative vector machines and genetic algorithm (RVM-GA) was proposed to predict aero engine fault based on data of the spectrometric oil analysis. Experimental results show that it has a high accuracy and effective properties.

Two-dimensional high-precision non-contact automatic measurement method based on image corner coordinates

2021 ◽  
pp. 095440622098112
Author(s):  
Maoyue Li ◽  
Yonghao Xu ◽  
Zengtao Chen ◽  
Kangsheng Ma ◽  
Lifei Liu
Keyword(s):  
High Precision ◽  
Measurement Method ◽  
Low Cost ◽  
Automatic Measurement ◽  
Detection Algorithm ◽  
Contour Detection ◽  
Two Dimensional ◽  
High Precision Measurement ◽  
Standard Size ◽  
Actual Size

Aiming at some shortcomings of the existing non-contact two-dimensional high-precision measurement methods, this paper proposes a two-dimensional high-precision non-contact automatic measurement method based on the corner coordinates of the image. Firstly, this paper designs a set of simple image acquisition device and explains the advantages of the Canny operator used in the image contour detection algorithm. Subsequently, this paper proposes a dimension calibration algorithm based on image corner coordinates, which can convert the pixel size to the actual size, and achieves the function of the algorithm by hierarchical, multi-step processing of the image. Finally, in order to realize the intelligent positioning and selection of the standard size workpiece position, an automatic measurement and positioning system is designed, which can convert the actual size signal into the pulse time control signal. The experimental results show that the measurement method proposed in this paper has the advantages of fast measurement speed, high robustness, low cost and high degree of automation. When using a black-and-white checkerboard paper with an accuracy of 0.1 mm, the measurement accuracy can reach the micron level.

Lifelog Moment Retrieval With Interactive Watershed-Based Clustering and Hierarchical Similarity Search

2020 ◽  
Vol 11 (2) ◽  
pp. 31-48
Author(s):  
Trong-Dat Phan ◽  
Minh-Son Dao ◽  
Koji Zettsu
Keyword(s):  
Similarity Search ◽  
High Accuracy ◽  
Experimental Results ◽  
New Method ◽  
High Productivity ◽  
Everyday Experiences ◽  
Excellent Tool ◽  
New System

Recently, the “lifelogging” and “lifelog” terminologies are frequently used to represent the activity of continuously recording people's everyday experiences, and the dataset contained these recorded experiences, respectively. Hence, providing an excellent tool to retrieve life moments from lifelogs to fast and accurately bring a memory back to a human when required, has become a challenging but exciting task for researchers. In this paper, a new method to meet this challenge by utilizing the hypothesis that “a sequence of images taken during a specific period can share the same context and content” is introduced. This manuscript per the authors introduces a new system to overcome the drawbacks. The experimental results confirm the high productivity of the proposed method in both stable and accuracy aspects as well as the advantage of having an interactive schema to push the accuracy when there is a conflict between a query and how to interpret such a query. Especially, this system requires only a few interactive steps to retrieve relevant images with high accuracy completely.

An Improved Harris Corner Detection Algorithm for Noised Images

2012 ◽  
Vol 433-440 ◽  
pp. 6151-6156 ◽  
Author(s):  
Xin Zhang ◽  
Xiu Hua Ji
Keyword(s):  
Image Registration ◽  
Detection Algorithm ◽  
Experimental Results ◽  
Corner Detection ◽  
Detection Accuracy ◽  
Image Mosaic ◽  
Harris Corner ◽  
Noise Impact ◽  
Corner Points ◽  
Harris Corner Detection

The Harris corner detection algorithm is widely applied in image mosaic, which is simple and stable. However, the algorithm has a disadvantage that it obtains a lot of false corners when there exist some noise in an image. An improved Harris corner detection algorithm is proposed in this paper. The new algorithm reduces the noise impact greatly. The experimental results show that the improved algorithm not only reduces false corner points greatly, but also retain the majority of true corners. As a result, it improves the detection accuracy and reduces the chance of error matching in image registration.

A Novel High Accuracy Sub-Pixel Corner Detection Algorithm for Camera Calibration

2012 ◽  
Vol 239-240 ◽  
pp. 713-716 ◽  
Author(s):  
Fang Jie Yu ◽  
Xin Luan ◽  
Da Lei Song ◽  
Xiu Fang Li ◽  
Hong Hong Zhou
Keyword(s):  
Response Function ◽  
Camera Calibration ◽  
Detection Algorithm ◽  
High Accuracy ◽  
Center Of Gravity ◽  
Corner Detection ◽  
Detection Methods ◽  
Robust Performance ◽  
Harris Detector ◽  
Candidate Regions

This paper presents a novel sub-pixel corner detection algorithm for camera calibration. In order to achieve high accuracy and robust performance, the pixel level candidate regions are firstly identified by Harris detector. Within these regions, the center of gravity (COG) method is used to gain sub-pixel corner detection. Instead of using the intensity value of the regions, we propose to use corner response function (CRF) as the distribution of the weights of COG. The results of camera calibration experiments show that the proposed algorithm is more accurate and robust than traditional COG sub-pixel corner detection methods.

Target Detection of Sonar Image Based on Bis-Parameter with Adaptive Windows

2013 ◽  
Vol 347-350 ◽  
pp. 3407-3410
Author(s):  
Ke Li ◽  
Zhong Liu ◽  
Sheng Liang Hu ◽  
Yang Liu
Keyword(s):  
Target Detection ◽  
Detection Algorithm ◽  
High Accuracy ◽  
New Method ◽  
Experimental Result ◽  
Image Process ◽  
Sar Image ◽  
Sonar Image

The detection algorithm CFAR is very mature in SAR image process field and the efficiency is very good. In the paper, CFAR is tried to be used in sonar image process. In order to solve the problem that the target part leaking to the background, a new method target detection of sonar image based on bis-parameter with adaptive windows is proposed. The size of adaptive windows can be adjusted to totally cover different targets. The experimental result showed that the complex multi target can be detected by the proposed method in a high accuracy.

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