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CRACK Picture Instruments Image 2 LUT Pro 5.2.7 (64-bit)

Digital Image Processing (DIP) is a non-destructive technology for imaging analysis, which is typically accomplished with a camera. Parameters acquired from pictures, such as the surface dimensions of joints and the image geometry, can be used to estimate the physical characteristics of asphalt. Image-based analyses (i.e., a digital image of a surface) have been carried out to characterize the bituminous materials and their physical properties. Digital images can be also acquired using high-resolution commercial satellites and unmanned aerial vehicles (UAVs). The ability of a digital image to quantify the traffic-induced defects and to detect the cracks and fissures, which are among the most important factors in the durability of asphalt pavements, is a common objective of many road and highway managers. In this study, we focused on the digital image-based assessment of the environmental aging index (EAI) in hot-mix asphalt (HMA) pavements. EAI is defined as the ratio of the cover to the thickness of cracked areas of an asphalt pavement. EAI is a significant parameter, which indirectly indicates the mechanical performance and durability of an asphalt pavement. In this paper, the authors investigated the feasibility of using a digital image-based method to estimate the EAI in asphalt pavements. The authors determined the EAI using a statistical analysis of digital images recorded by a digital camera of asphalt pavements.

The digital image processing (DIP) technique allows the users to quantify the traffic-induced cracks into the asphalt pavements. The digital image-based assessment of the EAI index (i.e., a digital image of an asphalt pavement) was considered. A digital image of the asphalt pavement was used to produce a digital image analysis of the EAI index of asphalt pavement. The EAI index was defined as the ratio of the cover to the thickness of cracked areas of an asphalt pavement. Moreover, a high-resolution digital image of a road surface was used to extract the EAI index by applying an image analysis of closed and open crack areas.

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the second step is to perform a georeferencing of the images, a three stage process. the first stage is a coarse-grained, non-linear, ashampoo photo recovery crack calibration. targeted calibration is obtained with an accuracy of around one tenth of a pixel,
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