scholarly journals Target Image Matching Algorithm Based on Binocular CCD Ranging

2014 ◽  
Vol 2014 ◽  
pp. 1-8
Author(s):  
Dongming Li ◽  
Wei Su ◽  
Jinhua Yang ◽  
Lijuan Zhang
Keyword(s):  
Measurement Accuracy ◽  
Experimental Results ◽  
Target Image ◽  
Actual Measurement ◽  
Matching Algorithm ◽  
Cubic Surface ◽  
Fitting Algorithm ◽  
Surface Fitting Algorithm ◽  
System Errors ◽  
Correlation Matching

This paper proposed target image in a subpixel level matching algorithm for binocular CCD ranging, which is based on the principle of binocular CCD ranging. In the paper, firstly, we introduced the ranging principle of the binocular ranging system and deduced a binocular parallax formula. Secondly, we deduced the algorithm which was named improved cross-correlation matching algorithm and cubic surface fitting algorithm for target images matched, and it could achieve a subpixel level matching for binocular CCD ranging images. Lastly, through experiment we have analyzed and verified the actual CCD ranging images, then analyzed the errors of the experimental results and corrected the formula of calculating system errors. Experimental results showed that the actual measurement accuracy of a target within 3 km was higher than 0.52%, which meet the accuracy requirements of the high precision binocular ranging.

Research of Dynamic Target Tracking Algorithm

2013 ◽  
Vol 448-453 ◽  
pp. 3601-3604
Author(s):  
Yu Bing Dong ◽  
Ming Jing Li ◽  
Jie Li
Keyword(s):  
Target Tracking ◽  
Cross Correlation ◽  
Search Algorithm ◽  
Automatic Recognition ◽  
Tracking Algorithm ◽  
Experimental Results ◽  
Matching Algorithm ◽  
Normalized Cross Correlation ◽  
Dynamic Target ◽  
Correlation Matching

An improved correlation matching algorithm is proposed in order to overcome some shortcomings of detecting the position of object accurately. A tracking algorithm with normalized cross correlation is introduced. In order to enhance the match speed, we have adopted pyramid search algorithm. The experimental results show that the algorithm has characteristics including automatic recognition of the object; permitting tracking and prediction when the object become shaded; the algorithm makes adaptive decision of varied object during the process of tracking.

scholarly journals Digital Image Correlation Analysis of Displacement Based on Corrected Three Surface Fitting Algorithm

Complexity ◽  
2019 ◽  
Vol 2019 ◽  
pp. 1-9 ◽  
Author(s):  
Tong-bin Zhao ◽  
Wei Zhang ◽  
Wei-yao Guo
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Surface Fitting ◽  
Image Correlation ◽  
Cubic Surface ◽  
Splitting Test ◽  
Fitting Algorithm ◽  
Surface Fitting Algorithm ◽  
Continuous Displacement ◽  
The Continuum

SFA (Surface Fitting Algorithm) for continuous displacement is an important method for digital image correlation with antinoise ability and computational efficiency advantages in practical applications. In order to improve the algorithm accuracy and expand its application range, this paper tries to improve the SFA and studies the modified cubic surface fitting algorithm CTSFA (Corrected Three Surface Fitting Algorithm), which is suitable for solving the initial value of continuous displacement. Bilinear interpolation and adjacent interpolation are used to analyze the gray level at any integer-pixel position in the displacement matrix and the weight coefficient is given. The distance-weighted method is used to approximate the true initial displacement value of the continuum, and the algorithm suitable for digital image processing is extended to the continuum displacement solution. The cubic surface expression of the CTSFA programmatic application is solved by the least squares method, and the correlation coefficient of the power basis function is calculated. In the computer simulation of speckle test, the comparison between CTSFA and SFA on the calculation results of linear and nonlinear displacement fields shows that the calculated amount of CTSFA is basically the same as that of SFA, but the calculation accuracy is doubled. The study of analysing the Brazilian splitting test using CTSFA and SFA reveals that CTSFA is better than SFA in observing the development of cracks.

scholarly journals Depth Measurement Based on Infrared Coded Structured Light

2014 ◽  
Vol 2014 ◽  
pp. 1-8 ◽  
Author(s):  
Tong Jia ◽  
ZhongXuan Zhou ◽  
HaiHong Gao
Keyword(s):  
Linear Relationship ◽  
Measurement Accuracy ◽  
Step Length ◽  
Depth Information ◽  
Grid Pattern ◽  
Depth Measurement ◽  
Object Based ◽  
Fitting Algorithm ◽  
Object Depth ◽  
System Errors

Depth measurement is a challenging problem in computer vision research. In this study, we first design a new grid pattern and develop a sequence coding and decoding algorithm to process the pattern. Second, we propose a linear fitting algorithm to derive the linear relationship between the object depth and pixel shift. Third, we obtain depth information on an object based on this linear relationship. Moreover, 3D reconstruction is implemented based on Delaunay triangulation algorithm. Finally, we utilize the regularity of the error curves to correct the system errors and improve the measurement accuracy. The experimental results show that the accuracy of depth measurement is related to the step length of moving object.

Three-Dimensional Microsphere Tracking Using Off-Focus Images Based on Cross-Correlation Matching Algorithm

2015 ◽  
Vol 35 (2) ◽  
pp. 0212002
Author(s):  
谢湘军 Xie Xiangjun ◽  
雷海 Lei Hai ◽  
常新宇 Chang Xinyu ◽  
曾雅楠 Zeng Yanan ◽  
胡晓东 Hu Xiaodong ◽  
...  
Keyword(s):  
Cross Correlation ◽  
Three Dimensional ◽  
Matching Algorithm ◽  
Correlation Matching

scholarly journals Indoor Positioning Method Based on Wireless Signal

2018 ◽  
Vol 14 (10) ◽  
pp. 53
Author(s):  
Jingjing Yang ◽  
Zhenyu Feng ◽  
Xuchao Ma ◽  
Xiao Zhang
Keyword(s):  
Measurement Accuracy ◽  
Wave Attenuation ◽  
Indoor Positioning ◽  
Least Square ◽  
Font Size ◽  
Least Square Fitting ◽  
Fitting Algorithm ◽  
Wireless Signal ◽  
Positioning Method ◽  
Indoor Positioning System

<span style="font-family: 'Times New Roman',serif; font-size: 10pt; mso-fareast-font-family: 'Times New Roman'; mso-fareast-language: DE; mso-ansi-language: EN-US; mso-bidi-language: AR-SA;">In view of the problems of traditional wireless indoor positioning technologies such as errors and a low positioning accuracy that cannot reach the application level required by hospital indoor positioning, this study proposes a hospital indoor positioning method based on wireless signals. This study firstly analyzes the principles of hospital indoor positioning, verifies the reliability and accuracy of the collected data using Gaussian distribution, P-P plot and Q-Q plot, and finally analyzes the collected data using the least square fitting algorithm to obtain a fitting wave attenuation model, which is then applied to the indoor positioning system. Experiments show that this method can reduce the error of indoor positioning in hospitals, and improve the repeatability and measurement accuracy of indoor positioning in hospitals.</span>

The Preprocessing for Infrared Sea-Surface Target Image

2012 ◽  
Vol 433-440 ◽  
pp. 4512-4515
Author(s):  
Shu Li Lou ◽  
Jian Cun Ren ◽  
Yan Li Han ◽  
Xiao Hu Yuan ◽  
Xiao Dong Zhou
Keyword(s):  
Feature Extraction ◽  
Target Recognition ◽  
Infrared Image ◽  
Automatic Target Recognition ◽  
Experimental Results ◽  
Sea Surface ◽  
Practical Application ◽  
Target Image

The preprocessing for infrared sea-surface target image is very important to automatic target recognition and tracking. The preprocessing can reduce noise and enhance target, and it is the base of feature extraction and target recognition. The scene model of infrared sea-surface target image was established. The characteristics of infrared image are analyzed, and several methods of preprocessing nowadays were analyzed and compared. According to the different characteristic of infrared image, a preprocessing scheme is proposed. The experimental results indicate that in practical application appropriate methods should be chosen for different purpose. In order to get good preprocessing effects, these methods can be assembled into multi- process.

Study of image matching algorithm and sub-pixel fitting algorithm in target tracking

2015 ◽  
Author(s):  
Ming-dong Yang ◽  
Jianjun Jia ◽  
Jia Qiang ◽  
Jian-yu Wang
Keyword(s):  
Target Tracking ◽  
Image Matching ◽  
Matching Algorithm ◽  
Fitting Algorithm
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