scholarly journals A Rapid Gradation Detection System for Earth and Stone Materials Based on Digital Image

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Shu Yu ◽  
Yanfeng Wen ◽  
Zuyu Chen ◽  
Guoying Zhang ◽  
Yujie Wang ◽  
...  
Keyword(s):  
Digital Image ◽  
Detection System ◽  
Detection Algorithm ◽  
High Accuracy ◽  
Dam Construction ◽  
Construction Site ◽  
Construction Sites ◽  
Edge Detection Algorithm ◽  
Stone Materials ◽  
Transport Vehicle

Gradation has an important influence on the mechanical properties of earth and stone materials after compaction, and a reasonable gradation is the key to ensure compaction quality. In this paper, a set of earth and stone materials gradation detection system based on digital image processing was proposed, which was suitable for detection in the construction sites. The system obtained images which were taken from multiple directions of materials transport vehicle, used the thresholding method to segment the images, detected particle contours through edge detection algorithm of Canny to realize the image recognition of particle size, and drew the gradation curve of earth and rock materials finally. It was verified by selecting limestone aggregates of different gradations, and the results showed high accuracy. The system can realize on-site detection of the earthwork gradation rapidly and accurately at a dam construction site.

scholarly journals Estimation of Fugitive Dust Levels on A Construction Site Using Digital Image Information

2018 ◽  
Vol 7 (3.9) ◽  
pp. 75
Author(s):  
Im . ◽  
Sun Young ◽  
Yu . ◽  
Jung Ho
Keyword(s):  
Digital Image ◽  
Construction Site ◽  
Fugitive Dust ◽  
Construction Sites ◽  
Image Information ◽  
Efficient Management ◽  
The Future

Currently, fugitive dust management on construction sites does not focus on prevention but rather seeks ways to control it after occurrence. In order to effectively manage fugitive dust on a construction site, it is necessary to quantify prevent fugitive dust from occurring, and take immediate measures after occurrence. Therefore, this study proposes a technique to estimate the amount of fugitive dust generated on a construction site using digital image information. Based on the results of this study, it is expected that high levels of fugitive dust on construction sites can be prevented in the future and efficient management will be possible. 

scholarly journals Characterisation of Full-Field Deformation Behaviour Using Digital Imaging Techniques

2010 ◽  
Vol 24-25 ◽  
pp. 141-146 ◽  
Author(s):  
Y.H. Tai ◽  
M. Zanganeh ◽  
D. Asquith ◽  
J.R. Yates
Keyword(s):  
Digital Image Correlation ◽  
Digital Image ◽  
Digital Imaging ◽  
Imaging Techniques ◽  
Deformation Behaviour ◽  
Detection Algorithm ◽  
Image Correlation ◽  
Edge Detection Algorithm ◽  
Full Field ◽  
Displacement Measurements

Optical techniques for displacement measurements have become more common in recent years. The current preferred technique is digital image correlation (DIC) which works very well but has limitations for measuring diametral contractions in cylindrical specimens using a standard 3D system. To overcome the limitations of using either a diametral clip gauge or standard 3D DIC, a method has been developed for measuring diametral contractions simultaneously in two directions using a standard 3D DIC system in conjunction with an edge detection algorithm. Results have shown the method to work well.

scholarly journals Low-Cost Multisensor Integrated System for Online Walking Gait Detection

2021 ◽  
Vol 2021 ◽  
pp. 1-15
Author(s):  
Lingyun Yan ◽  
Guowu Wei ◽  
Zheqi Hu ◽  
Haohua Xiu ◽  
Yuyang Wei ◽  
...  
Keyword(s):  
Detection System ◽  
Low Cost ◽  
Detection Algorithm ◽  
High Accuracy ◽  
Integrated System ◽  
Heel Strike ◽  
Detection Accuracy ◽  
Time Error ◽  
Kinematic Data ◽  
Compact Size

A three-dimensional motion capture system is a useful tool for analysing gait patterns during walking or exercising, and it is frequently applied in biomechanical studies. However, most of them are expensive. This study designs a low-cost gait detection system with high accuracy and reliability that is an alternative method/equipment in the gait detection field to the most widely used commercial system, the virtual user concept (Vicon) system. The proposed system integrates mass-produced low-cost sensors/chips in a compact size to collect kinematic data. Furthermore, an x86 mini personal computer (PC) running at 100 Hz classifies motion data in real-time. To guarantee gait detection accuracy, the embedded gait detection algorithm adopts a multilayer perceptron (MLP) model and a rule-based calibration filter to classify kinematic data into five distinct gait events: heel-strike, foot-flat, heel-off, toe-off, and initial-swing. To evaluate performance, volunteers are requested to walk on the treadmill at a regular walking speed of 4.2 km/h while kinematic data are recorded by a low-cost system and a Vicon system simultaneously. The gait detection accuracy and relative time error are estimated by comparing the classified gait events in the study with the Vicon system as a reference. The results show that the proposed system obtains a high accuracy of 99.66% with a smaller time error (32 ms), demonstrating that it performs similarly to the Vicon system in the gait detection field.

scholarly journals Digital Image Falsification Detection System for Effective Data Communication

2019 ◽  
Vol 9 (2) ◽  
pp. 4081-4086
Keyword(s):  
Digital Image ◽  
Detection System ◽  
Detection Algorithm ◽  
Feature Points ◽  
Scale Invariant ◽  
Speeded Up Robust Features ◽  
Extraction Algorithm ◽  
Region Extraction ◽  
Block Based ◽  
Scale Invariant Feature

In this proposed system a digital imagefalsification can be identified using the combination of both adaptive over block based segmentation, feature keypointbased feature extraction algorithms(Scale Invariant Feature Transform (SIFT) and Speeded Up Robust Features (SURF)) and forgery region extraction algorithm. The proposed falsification detection algorithm comprises both block based falsification detection algorithm (adaptive over block based segmentation and block feature matching algorithm) and the keypoint based falsification detection algorithm(forgery region extraction algorithm). Adaptive over block based Segmentation algorithm adaptively segments the input digital image into separate(non overlapped) blocks in irregular manner. Scale Invariant Feature Transform (SIFT) algorithm and Speeded Up Robust Features (SURF) algorithms are used to draw out features from the segmentedblocks as a block features. Then the extracted features are matched with the feature points of other segmented block. If the feature key points are matched with any other feature point presents in the segmented blocks, then the matched feature points are marked as Labeled key Points (LKP), which can be doubted as a forged regions. Finally, the Forgery Region Extraction algorithm can be used to detect the forged region from the input digital image based on the extracted labeled feature points. The experimental outcomesdisplay that the novelfalsification detection system can accomplished the requirements compared with the existing digital imagefalsification detection methods

An Improved Algorithm to Near Infrared Multispectral Ice Detection

2011 ◽  
Vol 121-126 ◽  
pp. 4367-4371
Author(s):  
Jian Shu Gao ◽  
Ren Yi Han ◽  
Zhi Jing Yu ◽  
Wen Qiao
Keyword(s):  
Near Infrared ◽  
Detection Method ◽  
Detection System ◽  
Threshold Value ◽  
Detection Algorithm ◽  
High Accuracy ◽  
Aircraft Wings ◽  
Ice Detection ◽  
Detection Unit ◽  
Improved Algorithm

In order to improve the accuracy of near infrared multispectral ice detection on aircraft wings, we present an improved unit detection algorithm to reduce the noise influenced by the ice detection system itself. The improved algorithm, first select matrices being 3*3 as a detection unit, then calculate the contrast value of the five pixel points in the cross region of the unit, and finally count the number of pixel points, whose contrast value are larger than the threshold value of ice on the surface. The experimental results show that the unit detection method has high accuracy and efficiency compared with conventional point-by-point method.

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