Remote detection method of concrete bridge surface cracks based on digital image

2021 ◽  
Author(s):  
Depan Lian
Keyword(s):  
Digital Image ◽  
Detection Method ◽  
Remote Detection ◽  
Concrete Bridge ◽  
Surface Cracks

Image detection and parameterization for different components in cross-sections of radial tires

2021 ◽  
pp. 095440702110236
Author(s):  
Chen Liu ◽  
Yude Dong ◽  
Yanli Wei ◽  
Jiangtao Wang ◽  
Hongling Li
Keyword(s):  
Image Processing ◽  
Digital Image Processing ◽  
Cross Sections ◽  
Digital Image ◽  
Detection Method ◽  
Detection System ◽  
Practical Significance ◽  
Vehicle Safety ◽  
Wire Steel ◽  
Good Detection

The internal structure analysis of radial tires is of great significance to improve vehicle safety and during tire research. In order to perform the digital analysis and detection of the internal composition in radial tire cross-sections, a detection method based on digital image processing was proposed. The research was carried out as follows: (a) the distribution detection and parametric analysis of the bead wire, steel belt, and carcass in the tire section were performed by means of digital image processing, connected domain extraction, and Hough transform; (b) using the angle of location distribution and area relationship, the detection data were optimized through coordinate and quantity relationship constraints; (c) a detection system for tire cross-section components was designed using the MATLAB platform. Our experimental results showed that this method displayed a good detection performance, and important practical significance for the research and manufacture of tires.

scholarly journals Monitoring Shear Behavior of Prestressed Concrete Bridge Girders Using Acoustic Emission and Digital Image Correlation

Sensors ◽  
2020 ◽  
Vol 20 (19) ◽  
pp. 5622 ◽  
Author(s):  
Fengqiao Zhang ◽  
Gabriela I. Zarate Garnica ◽  
Yuguang Yang ◽  
Eva Lantsoght ◽  
Henk Sliedrecht
Keyword(s):  
Acoustic Emission ◽  
Digital Image Correlation ◽  
Digital Image ◽  
Prestressed Concrete ◽  
Field Testing ◽  
Image Correlation ◽  
Bridge Girders ◽  
Concrete Bridge ◽  
Displacement Sensors ◽  
Prestressed Concrete Bridge

In the Netherlands, many prestressed concrete bridge girders are found to have insufficient shear–tension capacity. We tested four girders taken from a demolished bridge and instrumented these with traditional displacement sensors and acoustic emission (AE) sensors, and used cameras for digital image correlation (DIC). The results show that AE can detect cracking before the traditional displacement sensors, and DIC can identify the cracks with detailed crack kinematics. Both AE and DIC methods provide additional information for the structural analysis, as compared to the conventional measurements: more accurate cracking load, the contribution of aggregate interlock, and the angle of the compression field. These results suggest that both AE and DIC are suitable options that warrant further research on their use in lab tests and field testing of prestressed bridges.

Fast Ellipse Detection Method Based on Coordinates Transformation

2014 ◽  
Vol 926-930 ◽  
pp. 3038-3041
Author(s):  
Cheng Wang
Keyword(s):  
Digital Image ◽  
Detection Method ◽  
Closed Curve ◽  
New Method ◽  
Detection Methods ◽  
Circle Detection ◽  
Detection Problem ◽  
Ellipse Detection ◽  
Coordinates Transformation ◽  
Detection Speed

In this paper, we introduce a new method for ellipse detection. For any object has closed curve in a digital image, it is easy to calculate the centroid of the object. We assume the object is an ellipse, and then by rotating, scaling this object, it can be transformed to a circle. So, ellipse detection problem becomes circle detection problem. Compared with other detection methods, our method only need process border points of the object, hence has higher detection speed.

scholarly journals DIGITAL IMAGE ANALYSIS OF BURNING DROPLETS IN THE PRESENCE OF BACKLIGHT DIFFRACTION AND SOOT

2019 ◽  
Vol 38 (1) ◽  
pp. 53 ◽  
Author(s):  
Ramya Bhaskar ◽  
Benjamin Shaw
Keyword(s):  
Image Analysis ◽  
Digital Image ◽  
Digital Image Analysis ◽  
Detection Method ◽  
Soot Formation ◽  
Space Station ◽  
Image Sequences ◽  
Synthetic Image ◽  
International Space ◽  
Fuel Droplets

Approaches for analyzing digital images of moving and burning fuel droplets, with the goal of accurately measuring droplet edge coordinates, are discussed. Strategies for locating droplet edges in the presence of obscuration from soot and also backlight diffraction at the droplet edge are described. An outlier detection method is employed to identify outliers in droplet edge coordinates, and the resulting data can have significantly smaller standard deviations in droplet diameters if outliers are rejected, especially for droplets that exhibit significant soot formation. The approaches described herein are applied to images from droplet combustion experiments performed on the International Space Station as well as to synthetic image sequences that were generated to enable the accuracy of the algorithms to be assessed.

Extended smart meters-based remote detection method for illegal electricity usage

2013 ◽  
Vol 7 (11) ◽  
pp. 1332-1343 ◽  
Author(s):  
Byambasuren Bat-Erdene ◽  
Min-Young Kim ◽  
Donghan Kim ◽  
Bumjoo Lee ◽  
Tae Hong Ahn
Keyword(s):  
Detection Method ◽  
Remote Detection ◽  
Smart Meters
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