Method for recognizing vehicle type by digital picture processing technology

Abstract

The present invention belongs to the computer digital image processing vehicle type identification field, and relates to a method of utilizing digital image processing technology to identify vehicle brands and models. The proposal adopted by the present invention is that: firstly, a vehicle head is positioned from a collected front end image of the vehicle; the image is analyzed by utilizing one or a plurality of symmetry methods to find out the center line of a vehicle; the width information of the vehicle is acquired by extending the contour of the vehicle from the center line to a sideline, so as to segment and position the position of the vehicle head; secondly, all vehicle head components are positioned from the vehicle head; according to the image gray scale and texture information of the vehicle head components, the vehicle head components are protruded by utilizing multi-scale local energy function and gray scale profile function information, so as to realize the effective segmentation of each component; thirdly, after a vehicle logo is positioned, the vehicle logo is identified by utilizing image identification technology so as to acquire the brand information of the vehicle; fourthly, the brand of the vehicle is identified in image identification flow path according to the acquired global characteristic information of the vehicle logo and the vehicle head; fifthly, different vehicle models with the same vehicle brand are identified by utilizing the characteristics of all the vehicle head components and the topological relations among the characteristics.

Description

technical field [0001] The invention relates to a method for identifying vehicle types using computer digital image processing technology, especially a method for identifying vehicle brands and models. technical background [0002] The video-based vehicle recognition system is a computer processing system that uses image processing technology to detect and recognize traffic targets. The basic working principle of the system is to continuously capture and digitize the video images of driving vehicles in sequence through the camera, store them in the memory or frame buffer, and perform preprocessing on the collected sequence digital images, such as filtering and denoising, graphics sharpening, and contrast Enhancement, and then segment the preprocessed image, and perform feature extraction on the segmented target image; use the extracted features for classification and recognition, such as through corresponding algorithm calculations, and then build the features obtained by im...

AI Technical Summary

Problems solved by technology

The essence of this method is to compare and identify the segmented car body contour curves with the known 3D car body contours in the database; therefore, it is necessary to establish a large-scale database and define a large number of template types. , so it is greatly affected by the initial value, and the calculation time is longer. At the same time, it takes a long time for the staff to query the corresponding vehicle type according to the license plate number in the database.

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