Vehicle Shape Detection Key Technologies

Vehicle dimensions detection is a key link when the vehicles are registered in the management department. Currently vehicle dimensions detection method is mainly using artificial detection which takes longer, generates bigger testing error, and is influenced by human more serious. A vehicle dimensions detection method with high efficiency and precision which is combined with advanced computer technology and used to realize the automatic detection of vehicle dimensions is an emergent need of vehicle management department nowadays. This method is of big value. This dissertation studies a vehicle dimensions detection technology based on image processing, and proves the feasibility of this technology through experiment.The dissertation introduces the development of vehicle dimensions detection technology, analyzes the related national standards, and determines the overall design of a vehicle dimensions detection based on image processing. This subject mainly studies the three key technologies:vehicle shape information acquisition technology, shape parameter extraction technology, test parameters correction technology.This subject adopts several digital cameras to gain partial images at the same time, and gets complete vehicle image by mosaicing local images; through image edge detection, the number of pixels of image edge is extracted. The paper proposes a new scheme of bar cord ruler to more simple measure the actual size of vehicles. The dissertation focuses on the image mosaicing algorithm based on IBR technology, the improved Canny edge detection algorithm and the principle of image histograms, then analyzes and verifies the algorithms.Finally, through specific vehicle dimensions detection, the effectiveness of several key technologies above is verified, then the dissertation analyses and calculates the main errors. The experiment proves that testing errors are in the national standard error range, so the technologies presented in this dissertation can meet the needs of practical application.