Segmentation of thermal images for non-destructive evaluation of bridge decks

Abdel‐Qader, Ikhlas; Yohali, Solange; Abudayyeh, Osama; Yehia, Sherif

doi:10.1016/j.ndteint.2007.12.003

Cited by 76 publications

(35 citation statements)

References 6 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Multiphase segmentation based on finding the optimal solution of the model proposed by Mumford and Shah is widely applied to transform a complex scene into a series of homogeneous sub-regions. Mumford and Shah defined image segmentation as follows: given an image , find a set of such that the whole scene can be composed by the set of ( ) and an approximation I of such that the intensity values in I are homogeneous in each except passing through the boundaries of [3]. The model proposed by Mumford and Shah is expressed mathematically as follows: (1) where the parameters and are positive values, I is the approximation of the segmented results, C is made up of a finite set of smooth curves and is the total length of C, and is the gradient operator.…”

Section: Proposed Approach-analyzing the Surface Temperature Informationmentioning

confidence: 99%

“…Abdel-Qader and Huang proposed that the defects can be located by identifying those surface temperature changes with employing image processing, respectively [2] [3]. Image segmentation can group those pixels with similar surface temperature such that the given thermograph can be divided into few sub-regions, and the temperature distribution in each segmented sub-region is homogeneous.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Applying Thermographs to Monitor the Defects Presented in Building Facades

Wu¹,

Huang²,

Hsu³

et al. 2017

dtmse

View full text Add to dashboard Cite

 ABSTRACT: Thermography is used to record the surface temperature information. The surface temperature information is an important clue to indicate the defects presented in the building because defects can always be found in those areas whose surface temperatures are different with their surrounding neighbors. The paper proposes an approach to analyze the surface temperature information according to comparing the data similarities between the interested regions and their surrounding neighbors. In doing so, the surface temperature information of the object can be clustered into several regions such that the temperature distribution in each region is homogenous such that the temperature changes can be identified and located from the clustered regions. The paper tries to employ image segmentation to segment the collected thermographs such that the potential defect locations can be narrowed down to those regions in which the changes of surface temperature are apparent. After the potential defect locations have been identified, different NDT methods (like Visual Inspection, Impact Testing, etc.) can be used to examine those locations instead of examining the whole building facades. From the experimental results, the proposed approach based on the image segmentation does offer a reliable way to determine the potential defects shown in the building.

show abstract

Section: Proposed Approach-analyzing the Surface Temperature Informationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Applying Thermographs to Monitor the Defects Presented in Building Facades

Wu¹,

Huang²,

Hsu³

et al. 2017

dtmse

View full text Add to dashboard Cite

show abstract

“…Some researchers have included the effect of delamination size on its detectability using IRT [6,[9][10][11]; however, each researcher has devised artificial defects of different sizes and, in turn, reported different detectable defect depths. Farrag et al [12] investigated a relationship between the radius (R: shortest dimension) and the depth of defect surface (d) on the detectability of IRT.…”

Section: Literature Reviewmentioning

confidence: 99%

Infrared thermography for civil structural assessment: demonstrations with laboratory and field studies

Hiasa

Birgül

Çatbaş

2016

J Civil Struct Health Monit

View full text Add to dashboard Cite

A detailed investigation of infrared thermography (IRT) for civil structures is presented by considering different technologies, data analysis methods and experimental conditions in the laboratory and also in the field. Three different types of infrared (IR) camera were compared under active IRT conditions in the laboratory to examine the effect of photography angle on IRT along with the specifications of cameras. It is found that when IR images are taken from a certain angle, each camera shows different temperature readings. However, since each IR camera can capture temperature differences between sound and delaminated areas, they have a potential to detect delaminated area under a given condition in spite of camera specifications even when they are utilized from a certain angle. Furthermore, a more objective data analysis method than just comparing IR images was explored to assess IR data, and it is much easier to detect delamination than raw IR images. Specially designed laboratory and field studies show the capabilities, opportunities and challenges of implementing IRT for civil structures.

show abstract

“…The difference between passive and active thermography depends on the external heating or cooling source. Active thermography utilizes external heating or cooling sources rather than the natural environment when testing the materials [3]. Passive thermography involves heating or cooling only through changes in the natural environment [4].…”

Section: Introductionmentioning

confidence: 99%

Analysing a Time Series of Thermographs to Identify the Defects of Building Exterior Layers

Huang¹,

Peng²,

Chen³

et al. 2017

Proceedings of the 2017 Asia International Conference on Quantitative InfraRed Thermography

View full text Add to dashboard Cite

Thermography is designed to record the surface temperature information of the photographed objects. It is difficult to efficiently extract the useful information related the defects presented in the building outside walls because it is hard to analyze many thermographs at a time. Principal component analysis (PCA) has been widely used to analyze the hyperspectral satellite images by generating the new image that is composed of major characteristics extracted from hundreds of bands contained in the hyperspectral images. In this study, a scheme is proposed by applying PCA on the collected thermographs such that large data can be limited into the few enhanced thermographs, and then object-based image segmentation is introduced to analyze those enhanced thermographs such that the boundaries of the segmented regions can be described and lied on those enhanced thermographs. The image segmentation presented in the paper can efficiently group those pixels with collecting similar surface temperatures into the same regions such that each thermography can be composed by few groups. In each segmented group, the average surface temperature of each segmented region can be used to replace the surface temperature recorded in each pixel. Furthermore, the environmental effects acting on the given thermal image can be estimated by the proposed model. In doing so, those regions with the highest surface temperature information can be considered as defects located on the exterior building layer. Different nondestructive testing methods are, then, applied to those identified locations to verify the processed results. From the experimental results, the proposed approach does offer a reliable way to locate the defects presented on the building exterior layers because the results obtained by applying impact echo method are almost the same with the processed results of the proposed approach.

show abstract

Segmentation of thermal images for non-destructive evaluation of bridge decks

Cited by 76 publications

References 6 publications

Applying Thermographs to Monitor the Defects Presented in Building Facades

Applying Thermographs to Monitor the Defects Presented in Building Facades

Infrared thermography for civil structural assessment: demonstrations with laboratory and field studies

Analysing a Time Series of Thermographs to Identify the Defects of Building Exterior Layers

Contact Info

Product

Resources

About