The results show that there is a good agreement between the traditional Sand Patch method results and the 3D scanning prototype equipment. The measurements from nine pavements were collected to validate these algorithms. The first algorithm calculates the estimated texture depth (ETD), and the second calculates the texture profile level (TPL). Blais (2004) developed a scanning machine, which captures 3D data from the surface, and then categorized the road texture using two algorithms. Digitalizing can be used to measure different size and scale objects. Scanners and cameras are two types of digitalizing devices to produce a 3D image model. Image processing is another tool that is used to qualify pavement texture. Florida Texture Meter (FTM) and Circular Track Meter (CTM) are laser-based devices that can be used for this purpose. Segregation can also be determined by measuring the surface texture of the pavement. Segregated areas are primarily detected by the visual inspection and verified by core density. Detection of segregated areas in pavements has always been a disputable issue between agencies and contractors. Also, existence of enough bituminous and stickiness between asphalt materials may reduce deterioration of asphalt concrete. Segregation is defined as separation of aggregates gradation, so that coarse and fine aggregates are separated in the asphalt mixture. Pavement segregation is one of the main concerns affecting the performance of asphalt pavements. Segregation of aggregates alters material properties and accelerates deterioration’s rate. IntroductionĬharacteristic of asphalt material impacts on asphalt quality and driving safety.
The results have demonstrated that this new method is a robust tool to determine segregated areas in newly paved FC9.5 pavement types. The visual inspection method is utilized to verify this method. Linear Discriminate Analysis (LDA) is then implemented on the obtained standard deviations from image processing to classify pavements into the segregated and nonsegregated areas. In this procedure, the standard deviation of the grayscale image frequency histogram is used to determine segregated regions. In this study, an innovative digital image processing approach is used to determine pavement segregation. Furthermore, laser-based devices, such as the Florida Texture Meter (FTM) and the Circular Track Meter (CTM), have recently been developed to evaluate the asphalt mixture texture. The visual inspection method has commonly been used to determine pavement texture and in-place core density test used for verification. Segregation determination in the asphalt pavement is an issue causing many disputes between agencies and contractors.