Research on Asphalt Mixture Injury Digital Image Based on Enhancement and Segmentation Processing Technology

Abstract

In order to visually observe the damage evolution of the asphalt mixture, and analyze the damage evolution accurately and quantitatively, the CT image of asphalt mixture image was processed for image enhancing and segmenting, the entire or partial image features can be effectively improved. The dynamics gray-scale range of the image was adjusted by the histogram equalization and provision. Image gray-scale transformation is enhanced by using Matlab software. At the same time, when the algebraic operations and noise filtering is used to process, the mixture image segmentation and boundary identification are achieved. The results show that the contrast and gray scale dynamic range of the gray scale image can be effectively improved by provision and equalization of histogram. The gap, aggregates and binder can be extracted by segmentation technology from asphalt mixture CT images. The real microstructure obtained can accurately reflect the evolution of asphalt damage.