Research, Road Recognition Algorithm Based On Infrared Images

Intelligent Vehicle (IV) System is a new field in which many countries research concentratively in recent few years. The vision system in it needs real-time checking the environment and confirming the boundary of the road, so that the intelligent vehicle rides automatically, steadily and safely without manual operation. Using infrared camera to acquire images is a common method of the vision system. So road recognition of infrared image becomes a research emphasis of Intelligent Vehicle System.The paper primarily explicates some algorithms about infrared image processing and that how to recognize road effectively. The paper researches some algorithms in three ways. First, in image pretreatment. The paper respectively discusses some methods of image processing about gray level stretch, image smoothness and image sharpness from point domain, neighborhood domain and color domain. And it puts forward a new method of gray level stretch based on fake color. Second, in threshold analyses. The paper gives the methods of histogram pretreatment and automatic threshold selection based on histogram and gray level statistic. Last, in edge detection. The paper gives many methods of edge detection and explains the methods of curve fitting based on edge points and heuristics search for road edges.The paper cites fuzzy mathematics to image precossing, also discusses and experiments with fuzzy threshold selection and fuzzy edge detection based on this idea. Because of complexity of roads, the paper makes certain hypothesis and deduction on the roads, and integrates the knowledge into kinds of algorithms, so that some results of road recognition have a good effect.