scholarly journals A fast RFID image matching algorithm for multi-tag identification and distribution optimization

2021 ◽  
Vol 15 ◽  
pp. 174830262110126
Author(s):  
Ke Zhang ◽  
Xiaolei Yu ◽  
Lin Li ◽  
Zhenlu Liu ◽  
Shanhao Zhou ◽  
...  
Keyword(s):  
Real Time ◽  
Image Matching ◽  
Positioning System ◽  
Feature Points ◽  
High Complexity ◽  
Matching Accuracy ◽  
Tag Identification ◽  
Positioning Accuracy ◽  
Precise Positioning ◽  
Matching Algorithm

We propose an improved image matching algorithm that combines the minimum feature value algorithm to extract feature points and the direction gradient histogram to calculate the description vector. This algorithm is oriented to RFID multi-tag identification and distribution optimization in the actual scenario, and the traditional SURF algorithm has the problems of low matching accuracy and high complexity in multi-tag matching. This algorithm effectively improves the positioning accuracy of the RFID multi-tag positioning system. The experimental results show that the matching success rate of the improved algorithm in this paper is 87.4%, which is 50% higher than the SURF algorithm. Not only the matching accuracy is greatly improved, but the running speed is also increased by 48%. The algorithm in this paper has high matching accuracy and real-time performance.It provides an effective way for RFID multi-tag real-time fast matching and precise positioning.

LED Chip Electrode Positioning Based on Machine Vision

2014 ◽  
Vol 496-500 ◽  
pp. 1927-1930
Author(s):  
Xiao Qing Yan
Keyword(s):  
Machine Vision ◽  
Image Matching ◽  
Main Idea ◽  
Servo Control ◽  
Positioning System ◽  
Matching Accuracy ◽  
Precise Positioning ◽  
Servo Control System ◽  
Electrode Positioning ◽  
Automatic Positioning

The paper mainly studies the automatic positioning system of LED chip electrode based on machine vision technology, The main idea is taking, analysis and processing the LED chip images through the machine vision technology, and accurately finding the LED chip electrodes and their coordinates, then sending the coordinate informations to the servo control system to achieve precise positioning the LED chip electrodes. This paper focuses on the identification and coarse positioning of the LED chip, the precise positioning of the LED chip electrodes and analysis of image matching accuracy

An Image Matching Algorithm Based on SIFT and Invariability of Feature Points Set

2011 ◽  
Vol 121-126 ◽  
pp. 701-704
Author(s):  
Xue Tong Wang ◽  
Yao Xu ◽  
Feng Gao ◽  
Jing Yi Bai
Keyword(s):  
Image Matching ◽  
Singular Value ◽  
Feature Points ◽  
Matching Algorithm ◽  
Candidate Feature

Feature points can be used to match images. Candidate feature points are extracted through SIFT firstly. Then feature points are selected from candidate points through singular value decomposing. Distance between feature points sets is computed According to theory of invariability of feature points set, images are matched if the distance is less than a threshold. Experiment showed that this algorithm is available.

An Effective Image Matching Algorithm Based on Rotation Independence

2013 ◽  
Vol 347-350 ◽  
pp. 3685-3690
Author(s):  
Xian Ying Huang ◽  
Wei Wei Chen
Keyword(s):  
Image Matching ◽  
Irregular Shape ◽  
Matching Accuracy ◽  
Similarity Comparison ◽  
Matching Algorithm ◽  
Irregular Shapes ◽  
Irregular Region ◽  
Histogram Intersection ◽  
Intersection Method ◽  
Traditional Image

Traditional image matching algorithms has poor accuracy in image comparing, such as histogram intersection method. A new image matching algorithm based on the similarity comparison of irregular shape is presented in this paper, which divides the image into a number of irregular regions according to different colors, and extracts the boundary points of the irregular region to compose an irregular shape. The direction and distance is used to comparing the two irregular shapes if the rotation of the image is not considered, otherwise circular list is used to ignore the image rotation. It can be used widely. If two irregular shapes are similar, the two images are considered similar. Experiment proves that this method can effectively improve the image matching accuracy.

A New Algorithm of Image Matching Combining Sift and Shape Context

2014 ◽  
Vol 644-650 ◽  
pp. 4307-4313
Author(s):  
Yan Lu Xu ◽  
Yan Ma ◽  
Shun Bao Li ◽  
Ning Li Zhang ◽  
Xiang Fen Zhang ◽  
...  
Keyword(s):  
Image Matching ◽  
Experimental Results ◽  
Feature Points ◽  
Shape Context ◽  
Matching Accuracy ◽  
Conventional Methods ◽  
Distance Formula

This paper presents a new algorithm of image matching via combining sift and shape context for improving image matching accuracy. A joint descriptor is applied to describe feature points. The initial matching is obtained by a proposed distance formula. Furthermore, PLS is introduced to eliminate mismatched points. Experimental results demonstrate the proposed algorithm can achieve better performance compared to conventional methods.

Research of Stereo Matching Based on HALCON

2013 ◽  
Vol 415 ◽  
pp. 361-364
Author(s):  
Hui Yu Xiang ◽  
Zhe Li ◽  
Jia Jun Huang ◽  
Baoan Han
Keyword(s):  
Image Matching ◽  
Stereo Matching ◽  
Vision System ◽  
Difficult Problem ◽  
Matching Method ◽  
Matching Accuracy ◽  
Matching Algorithm ◽  
Binocular Stereo Vision ◽  
Binocular Stereo ◽  
Matching Window

Binocular stereo matching is a hot and difficult problem in machine vision. In this paper, based on the matching method of Halcon which is visual software perform image matching. First, performing binocular stereo vision system calibration, based on the calibration results acquired the epipolar standard geometric structure. Then, image matching researched under this structure. At last, using ncc matching algorithm, through comparing the different parameters matching window obtain ideal match results. Experiments prove that this method not only can effectively shorten matching time, but also can achieve higher matching accuracy.

scholarly journals Real-time single-frequency precise positioning with Galileo satellites

2021 ◽  
pp. 1-17
Author(s):  
Berkay Bahadur
Keyword(s):  
Real Time ◽  
Experimental Tests ◽  
Convergence Time ◽  
Single Frequency ◽  
Positioning Accuracy ◽  
Precise Positioning ◽  
Frequency Code ◽  
Substantial Progress ◽  
Phase Combination ◽  
Gps Observations

Abstract Following substantial progress achieved recently, the Galileo constellation provides a considerable satellite resource for the GNSS applications. In this regard, the performance assessment of real-time single-frequency precise positioning with Galileo satellites is the main objective of this research. For this purpose, several experimental tests were conducted in this study with two single-frequency positioning models, namely single-frequency code-based positioning and code-phase combination. The results show that Galileo presents an adequate number of visible satellites sufficient for single-frequency positioning. Also, the study demonstrates that, in comparison to GPS observations, Galileo observations have a significantly lower noise level. For the single-frequency code-based positioning, Galileo presents a better positioning accuracy than GPS by 25⋅8% on average. When compared with GPS, a 9⋅4% better positioning accuracy is acquired from Galileo for the single-frequency code-phase combination, with its average convergence time shorter than GPS by a ratio of 24⋅4%.

Robot View Navigation Based on Level-Divided Strategy

2013 ◽  
Vol 753-755 ◽  
pp. 3108-3111
Author(s):  
Yin Bing Li
Keyword(s):  
Genetic Algorithm ◽  
Real Time ◽  
Image Matching ◽  
Search Strategy ◽  
Detection Algorithm ◽  
Adaptive Genetic Algorithm ◽  
Exact Matching ◽  
Matching Accuracy ◽  
Similarity Detection ◽  
Time Requirements

In allusion to the colored image matching characteristic in the system of robot view navigation, SSDA (the sequential similarity detection algorithm) is improved and adaptive genetic algorithm is brought in; meanwhile, level-divided search strategy connective with rough and exact matching. The improved algorithm can enhance the image matching speed with no matching accuracy reduced, so that real-time requirements of robot view navigation can be met and robot view navigation will be of preferable robustness.

Performance evaluation of real-time tightly-coupled GNSS PPP/MEMS-based inertial integration using an improved robust adaptive Kalman filter

2020 ◽  
Vol 14 (4) ◽  
pp. 413-430
Author(s):  
Abdelsatar Elmezayen ◽  
Ahmed El-Rabbany
Keyword(s):  
Kalman Filter ◽  
Real Time ◽  
Integrated System ◽  
Adaptive Kalman Filter ◽  
Integration Algorithm ◽  
Positioning Accuracy ◽  
Precise Positioning ◽  
The Real ◽  
Tightly Coupled ◽  
Robust Adaptive

AbstractTypically, the extended Kalman filter (EKF) is used for tightly-coupled (TC) integration of multi-constellation GNSS PPP and micro-electro-mechanical system (MEMS) inertial navigation system (INS) to provide precise positioning, velocity, and attitude solutions for ground vehicles. However, the obtained solution will generally be affected by both of the GNSS measurement outliers and the inaccurate modeling of the system dynamic. In this paper, an improved robust adaptive Kalman filter (IRKF) is adopted and used to overcome the effect of the measurement outliers and dynamic model errors on the obtained integrated solution. A real-time IRKF-based TC GPS+Galileo PPP/MEMS-based INS integration algorithm is developed to provide precise positioning and attitude solutions. The pre-saved real-time orbit and clock products from the Centre National d’Etudes Spatials (CNES) are used to simulate the real-time scenario. The performance of the real-time IRKF-based TC GNSS PPP/INS integrated system is assessed under open sky environment, and both of simulated partial and complete GNSS outages through two ground vehicular field trials. It is shown that the real-time TC GNSS PPP/INS integration through the IRKF achieves centimeter-level positioning accuracy under open sky environments and decimeter-level positioning accuracy under GNSS outages that range from 10 to 60 seconds. In addition, the use of IRKF improves the positioning accuracy and enhances the convergence of the integrated solution in comparison with the EKF. Furthermore, the IRKF-based integrated system achieves attitude accuracy of 0.052°, 0.048°, and 0.165° for pitch, roll, and azimuth angles, respectively. This represents improvement of 44 %, 48 %, and 36 % for the pitch, roll, and azimuth angles, respectively, in comparison with the EKF-based counterpart.

Designing of People's Position System under Mine with ZigBee and LabVIEW

2014 ◽  
Vol 602-605 ◽  
pp. 1530-1533
Author(s):  
Meng Tao Huang ◽  
Lu Wei
Keyword(s):  
Data Processing ◽  
Real Time ◽  
Data Storage ◽  
Historical Data ◽  
System Security ◽  
Focus Of Attention ◽  
Positioning System ◽  
Research Focus ◽  
Positioning Accuracy ◽  
Labview Software

The coal safety has always been the focus of attention. So it is important to monitor the location of the mine personnel and display it on the the monitoring computer for the timely and effective rescue when the mine disaster occurs. The mine personnel positioning system is made up of Zigbee and LabVIEW software. The system has a better performance in system security, data storage, positioning accuracy, report printing, etc. It has a higher degree of automation and more apparent display. The research focus on the communication of LabVIEW software and the lower computer, the data processing, real-time reports and historical data.

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