A fast on-site tire track pattern retrieval algorithm

A field and pattern technology, applied in the field of retrieval algorithms, can solve the problems that the algorithm only supports, does not fully consider the strong interference conditions, does not support the algorithm of large sample database, etc., and achieves the effect of good retrieval results

Active Publication Date: 2018-06-12
DALIAN EVERSPRY SCI & TECH
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AI Technical Summary

Problems solved by technology

[0006] Although some achievements have been made in tire track pattern retrieval at home and abroad, there are still many problems in practice: the existing algorithms only support ideal image retrieval, do not fully consider various strong interference conditions on site, and do not support large sample databases. Algorithm

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  • A fast on-site tire track pattern retrieval algorithm

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Embodiment Construction

[0023] Such as figure 1 As shown, the retrieval is obtained by comparing two images. Therefore, it is necessary to read the inventory image, that is, to obtain the database image, perform scale normalization processing based on a certain scale factor, and calculate the various angles of the inventory image. Direction energy, and sort to find the frequency energy value and direction of its main frequency, and then store the data, read the image to be tested accordingly and perform scale normalization processing based on the same scale factor, and calculate the energy of each angle direction of the image to be tested , and sort to find the frequency energy value and direction of its main frequency. The features of the previously stored stock image, that is, the database sample, are read and compared with the features of the image to be tested, that is, the feature of the sample to be tested.

[0024] A fast on-site tire trace pattern retrieval algorithm of the present invention...

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Abstract

The invention provides a fast field tire trace pattern retrieval algorithm. Characteristics of a to-be-tested image is analyzed first, and the image is preprocessed; the characteristics that have the rotating, zoom and shift invariant performance, and satisfy the certain noise immunity and slight defect invariant performance of stock images and the to-be-tested image are selected within the margin of algorithm errors; finally the selected characteristics are combined to operate characteristic query. The fast field tire trace pattern retrieval algorithm considers both the whole and local characteristic query strategies, has the rotating, zoom and shift invariant performance, is insensitive to noise, has the obvious advantage in terms of classified query, and obtains a good query result when a test is operated based on a large sample data base. Particularly, the query result is better aimed at the field tire trace pattern retrieval algorithm which is lower in contrast ratio, larger in fragment, and distorted.

Description

technical field [0001] The invention relates to a retrieval algorithm, in particular to a fast on-site tire trace pattern retrieval algorithm, belonging to the field of tire trace retrieval methods. Background technique [0002] As the "fingerprint" of vehicles, the tire track pattern and details will have a place in public security and forensic science in the future, and will be of great significance to the handling of road traffic accidents and the identification of accident responsibilities. At present, there are four main automatic tire pattern retrieval technologies: transform domain-based tire pattern retrieval, feature-based tire pattern retrieval, artificial neural network-based tire pattern retrieval, and image segmentation-based tire pattern retrieval. In addition, some foreign researchers have established a traffic accident detection system and a vehicle body information database, and proposed a text-based tire trace retrieval technology. The premise of this techn...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F17/30G06K9/64G06K9/46
CPCG06F16/5838
Inventor 王新年何晓光李博
Owner DALIAN EVERSPRY SCI & TECH
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