scholarly journals Measurement of Apparent Building Damage by Using a Single Image

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Junda Lyu ◽  
Jiacheng Gao ◽  
Dejun Gao
Keyword(s):  
Measurement Errors ◽  
Quantitative Measurement ◽  
Detection Method ◽  
Perspective Transformation ◽  
Surface Damage ◽  
Corner Detection ◽  
Area Measurement ◽  
Single Image ◽  
Damage Area ◽  
Selection Of

In the proposed detection method, a single image was used for the rapid quantitative measurement of the damage area of a building. By using cross-ratio invariability between real and image coordinates, the damage area and the side lengths of the selected region were measured using the vanishing point, the vanishing line, and a line segment with a known length. Perspective transformation and image binarisation were performed on the selected frame to convert the length into area information. The damage area was obtained rapidly from the proportion of pixels in the damage region to pixels in the selected region. Corner detection and subpixel methods were combined to determine measurement errors because of the selection of measurement points. The experimental results from the example test revealed that quantitative area measurement of surface damage on buildings could be realised using the proposed method.

A Method for Extracting QR Code from Complex Background Based on Morphology

2012 ◽  
Vol 239-240 ◽  
pp. 1466-1471
Author(s):  
Xu Yang ◽  
Xiang Gao ◽  
Si Qiang Jia ◽  
Qi Yong Lu
Keyword(s):  
Traditional Method ◽  
Detection Method ◽  
Perspective Transformation ◽  
Pattern Detection ◽  
Corner Detection ◽  
Qr Code ◽  
Gravity Center ◽  
Complex Background ◽  
Region Growth ◽  
Seed Pixel

In this paper we propose a new QR code extracting method based on morphology. Most of the time, locating Finder patterns is a significant part of QR code extraction. On the basis of traditional Finder Pattern detection method which checks whether certain areas meet 1:1:3:1:1 in both vertical and horizontal directions, we further refine the true Finder Patterns from several candidate areas through acreage proportion and gravity center detection, so as to eliminate interference from complex background. After image segmentation and getting the true finder patterns, other than the traditional method such as edge detection, we introduce the algorithm of region growth, along with choosing one seed pixel from obtained finder patterns to roughly figure out the QR code area. Eventually, by combining corner detection and inverse perspective transformation, we accomplish the extraction of QR code. Experiment results show that this method has robust correction capability from complex background and QR code deformation.

scholarly journals Efficient 3D stereo vision stabilization for multi-camera viewpoints

2019 ◽  
Vol 8 (3) ◽  
pp. 882-889
Author(s):  
Sharif Shah Newaj Bhuiyan ◽  
Othman O. Khalifa
Keyword(s):  
Stereo Vision ◽  
Linear Order ◽  
Spanning Tree ◽  
Detection Method ◽  
Corner Detection ◽  
Geometric Transformation ◽  
Image Stabilization ◽  
Tree Algorithm ◽  
Stabilization Process ◽  
Key Points

In this paper, an algorithm is developed in 3D Stereo vision to improve image stabilization process for multi-camera viewpoints. Finding accurate unique matching key-points using Harris Laplace corner detection method for different photometric changes and geometric transformation in images. Then improved the connectivity of correct matching pairs by minimizing the global error using spanning tree algorithm. Tree algorithm helps to stabilize randomly positioned camera viewpoints in linear order. The unique matching key-points will be calculated only once with our method. Then calculated planar transformation will be applied for real time video rendering. The proposed algorithm can process more than 200 camera viewpoints within two seconds.

Multi-feature SUSAN corner detection method

2005 ◽  
Author(s):  
Xun Wang ◽  
Jianqiu Jin ◽  
Yun Ling ◽  
Zhaoyi Jiang
Keyword(s):  
Detection Method ◽  
Corner Detection

An Edge Detection Method for Accurate Area Measurement of Objects in an Aerial Image

2021 ◽  
Vol 27 (6) ◽  
pp. 282-288
Author(s):  
Yunsung Han ◽  
Sujong Kim ◽  
Seokjin Kim ◽  
Dongwook Lee ◽  
Soobin Jeon ◽  
...  
Keyword(s):  
Edge Detection ◽  
Detection Method ◽  
Area Measurement ◽  
Aerial Image ◽  
Edge Detection Method

scholarly journals A development of cloud top height retrieval using thermal infrared spectra observed with GOSAT and comparison with CALIPSO data

2016 ◽  
Vol 9 (5) ◽  
pp. 1981-1992 ◽  
Author(s):  
Yu Someya ◽  
Ryoichi Imasu ◽  
Naoko Saitoh ◽  
Yoshifumi Ota ◽  
Kei Shiomi
Keyword(s):  
Measurement Errors ◽  
Thermal Infrared ◽  
Atmospheric Conditions ◽  
Cloud Detection ◽  
Low Cloud ◽  
Atmospheric Profile ◽  
Slicing Method ◽  
Cloud Tops ◽  
Spectral Channels ◽  
Selection Of

Abstract. An algorithm based on CO2 slicing, which has been used for cirrus cloud detection using thermal infrared data, was developed for high-resolution radiance spectra from satellites. The channels were reconstructed based on sensitivity height information of the original spectral channels to reduce the effects of measurement errors. Selection of the reconstructed channel pairs was optimized for several atmospheric profile patterns using simultaneous studies assuming a cloudy sky. That algorithm was applied to data by the Greenhouse gases Observing SATellite (GOSAT). Results were compared with those obtained from the space-borne lidar instrument on-board Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO). Monthly mean cloud amounts from the slicing generally agreed with those from CALIPSO observations despite some differences caused by surface temperature biases, optically very thin cirrus, multilayer structures of clouds, extremely low cloud tops, and specific atmospheric conditions. Comparison of coincident data showed good agreement, except for some cases, and revealed that the improved slicing method is more accurate than the traditional slicing method. Results also imply that improved slicing can detect low-level clouds with cloud top heights as low as approximately 1.5 km.

A model of the distribution and metabolism of corticotropin-releasing factor

1988 ◽  
Vol 254 (1) ◽  
pp. E104-E112
Author(s):  
B. Candas ◽  
J. Lalonde ◽  
M. Normand
Keyword(s):  
Measurement Errors ◽  
Compartment Model ◽  
Corticotropin Releasing Factor ◽  
Data Sets ◽  
Data Set ◽  
Rapid Injection ◽  
Three Compartment Model ◽  
Rival Models ◽  
Sampling Schedule ◽  
Selection Of

The aim of this study is the selection of the number of compartments required for a model to represent the distribution and metabolism of corticotropin-releasing factor (CRF) in rats. The dynamics of labeled rat CRF were measured in plasma for seven rats after a rapid injection. The sampling schedule resulted from the combination of the two D-optimal sampling sets of times corresponding to both rival models. This protocol improved the numerical identifiability of the parameters and consequently facilitated the selection of the relevant model. A three-compartment model fits adequately to the seven individual dynamics and better represents four of them compared with the lower-order model. It was demonstrated, using simulations in which the measurement errors and the interindividual variability of the parameters are included, that his four-to-seven ratio of data sets is consistent with the relevance of the three-compartment model for every individual kinetic data set. Kinetic and metabolic parameters were then derived for each individual rat, their values being consistent with the prolonged effects of CRF on pituitary-adrenocortical secretion.

scholarly journals A transformer winding deformation detection method based on the analysis of leakage inductance changes

2015 ◽  
Vol 64 (2) ◽  
pp. 333-346
Author(s):  
Li Jiansheng ◽  
Tao Fengbo ◽  
Wei Chao ◽  
Lu Yuncai ◽  
Wu Peng ◽  
...  
Keyword(s):  
Measurement Errors ◽  
Detection Method ◽  
Time Window ◽  
Short Circuit ◽  
Normal Function ◽  
Random Fluctuation ◽  
Least Squares Regression ◽  
Leakage Inductance ◽  
Transformer Winding ◽  
Winding Deformation

Abstract The detection of transformer winding deformation caused by short-circuit current is of great significance to the realization of condition based maintenance. Considering the influence of environment and measurement errors, an online deformation detection method is proposed based on the analysis of leakage inductance changes. First, the operation expressions are derived on the basis of the equivalent circuit and the leakage inductance parameters are identified by the partial least squares regression algorithm. Second, the amount of the leakage inductance samples in a detection time window is determined using the Monte Carlo simulation thought, and then the samples in the confidence interval are obtained. Last, a criteria is built by the mean value changes of the leakage inductance samples and the winding deformation is detected. The online detection method considers the random fluctuation characteristics of the leakage inductance samples, adjust the threshold value automatically, and can quantify the change range to assess the severity. Based on the field data, the distribution of the leakage inductance samples is analyzed to obey the normal function approximately. Three deformation experiments are done by different sub-winding connections and the detection results verify the effectiveness of the proposed method

scholarly journals The Development of Highly Specific and Sensitive Primers for the Detection of Potentially Allergenic Soybean (Glycine max) Using Loop-Mediated Isothermal Amplification Combined with Lateral Flow Dipstick (LAMP-LFD)

Foods ◽  
2020 ◽  
Vol 9 (4) ◽  
pp. 423 ◽  
Author(s):  
Stefanie M. Allgöwer ◽  
Chris A. Hartmann ◽  
Thomas Holzhauser
Keyword(s):  
Glycine Max ◽  
Detection Method ◽  
Lateral Flow ◽  
Isothermal Amplification ◽  
Loop Mediated Isothermal Amplification ◽  
Lateral Flow Dipstick ◽  
Soybean Allergy ◽  
Systematic Development ◽  
Multicopy Genes ◽  
Selection Of

The soybean (Glycine max) has been recognized as a frequent elicitor of food allergy worldwide. A lack of causative immunotherapy of soybean allergy makes soybean avoidance essential. Therefore, sensitive and specific methods for soybean detection are needed to allow for soybean verification in foods. Loop-mediated isothermal amplification (LAMP) represents a rapid and simple DNA-based detection method principally suitable for field-like applications or on-site analytical screening for allergens during the manufacturing of foods. This work describes the systematic development and selection of suitable LAMP primers based on soybean multicopy genes. The chemistry applied allows for a versatile detection of amplified DNA, using either gel electrophoresis, fluorescence recording, or a simple Lateral Flow Dipstick (LFD). LAMP based on the ORF160b gene was highly specific for the soybean and may allow for a detection level equivalent to approximately 10 mg soy per kg food. Various soybean cultivars were detectable at a comparable level of sensitivity. LAMP combined with LFD-like detection facilitates a simple, highly specific and sensitive detection of the soybean without the need for expensive analytical equipment. In contrast to the majority of antibody-based methods for soybean detection, all identified primer sequences and optimized protocols are disclosed and broadly available to the community.

scholarly journals Level vulnerability damage of pavement using Pavement Condition Index method

2018 ◽  
Vol 181 ◽  
pp. 11003 ◽  
Author(s):  
Siti Nurjanah Ahmad ◽  
Tri Harianto ◽  
Lawalenna Samang ◽  
Muralia Hustim
Keyword(s):  
Surface Damage ◽  
Condition Index ◽  
Index Method ◽  
Pavement Condition ◽  
Damage Area ◽  
Road Pavement ◽  
Pavement Condition Index ◽  
Damage Field ◽  
The Mean ◽  
Pavement Damage

This study aims to assess the vulnerability of road pavement damage using the Pavement Condition Index (PCI) method, including the direction of handling pavement road damage. Assessment of the level of road surface damage is based on the type of damage, the degree of damage, and amount of damage. Field observations and surveys were conducted on several Collector roads in Kendari. The mean PCI score as an indicator of damage to the Mokodompit road segment shows moderate damage conditions with a mean the value PCIaverage = 53 and surface damage area = 34.419% and the countermeasures according to the Bina Marga Standard recommend patching and adding pavement layers. Assessment of vulnerabilities Manunggal road damage indicates moderate damage to the value PCIaverage = 49 With the extent of surface damage = 34,419% and the response according to Standard by filling a crack with a mixture of liquid asphalt and sand.

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