Research On Mesurement Of Vehicle Size Based On Digital Image Processing

With the rapid development of computer technology, modern sensing and digital image processing technology, the machine vision technology is widely applied in domains such as product quality examination, machining, precision measurement, vibration examination robot and so on. Applying machine vision technology on motive carrier (Automobile) is a popular research project for digital image processing and modernized production and management. It has high research significance and project application value for study and realize vehicle 3-D size parameter by non-contact examination.The paper introduced elementary image processing knowledge in detail, including image binarization, image smoothing, image sharpening, edge detection and so on. The hardware platform for vehicle 3-D size measuring system been designed. An algorithm of camera self-calibration based on Kruppa equation been used in the paper.The method of Multi-scale Harris corner examination was used for corner detection regarding to characteristic point match for obtained image. After 3-D matching, one kind of method for calculating vehicle length and width value by extracting a medial axis was proposed under the condition that the radio of length to width is unknown. This method was verified by simulation and calculation of experiment. The summary and forecast of the study were given at last.