Depth-from-Focus-Based 3D Reconstruction of Asphalt Pavement Micro-Texture

作者：Cui, X.; Zhou, X.^*; Lou, J.; Zhang, J.; Ran, M.

来源：Journal of Testing and Evaluation, 2018, 46(1): 419-427.

DOI：10.1520/JTE20160040

• asphalt pavement
• micro-texture
• 3D reconstruction
• depth-from-focus
• machine vision

Three-dimensional image reconstruction is one of the basic methods to obtain the micro-texture characteristics of body surface. In this study, a novel 3D-reconstruction measurement technique is proposed to rapidly and reliably capture the features of asphalt pavement micro-texture. This technique is based on the depth-from-focus principle. Sequential images of pavement texture are hierarchically photographed using a monocular stereo microscope installed perpendicularly to the surface of asphalt specimen. These images focus on different depths of the pavement surface, and each pixel on the clear area of the images are orientated and combined into a fused image through the new proposed algorithm, which introduces the improved Laplacian focus operator. The three-dimensional picture of micro-texture can be reconstructed utilizing the MATLAB software with the altitude data of the pixels obtained through the Gaussian interpolation. Laboratory tests are described and the results exhibit that the proposed method can accurately reconstruct the three-dimensional micro-texture of asphalt pavement.

• 出版日期2018-1
• 单位武汉科技大学; 山东大学