Road Image Segmentation

With the development of traffic, the asphalt-carpolite mixture is widely used. At the same time, the request of the quality of this mixture is increased. The form and the distributing of asphalt and carpolite in the mixture have great influence on projects. So it becomes an urgent problem to be solved how to know the form and the distributing of the mixture rapidly and nicely. In this paper, techniques of digital image processing are introduced to solve the problem.During the course of road image analysis, one of the key points is road image segmentation. The quality of road image segmentation determines the whole process. In this paper, based on the fully review of lots of image segmentation methods and carefully analysis on the road image characteristics, we choose three techniques to segment road images. They are thresholding technique, region growing method and watershed arithmetic. The results proved these three techniques are effective.After the segmenting of road images, we even use several techniques to improve the quality of these pictures. Then the form and the distributing characteristics of the carpolite are calculated. The outcomes will support to measure the quality of the mixture. By combining of other knowledge, such as mechanics and material, we can even forecast the capability of the mixture in the future.