A Method for Automatically Identifying Traces of Bullet Cases

An automatic recognition and trace technology, applied in character and pattern recognition, image analysis, image enhancement, etc., can solve the problems of insufficient experiments, lack of qualitative methods for matching bullet casing traces, and in-depth research, and achieve the effect of saving material and financial resources.

Active Publication Date: 2021-08-24
NANJING TECH UNIV +1
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  • Claims
  • Application Information

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Problems solved by technology

It can be said that the current research on the qualitative method of shell casing trace matching is still quite lacking, the research is not deep, and the experiment is not sufficient

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  • A Method for Automatically Identifying Traces of Bullet Cases
  • A Method for Automatically Identifying Traces of Bullet Cases
  • A Method for Automatically Identifying Traces of Bullet Cases

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Embodiment Construction

[0076] The preferred embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings, so that the advantages and features of the present invention can be more easily understood by those skilled in the art, so as to define the protection scope of the present invention more clearly.

[0077] Such as Figure 1 to Figure 6 ,

[0078] see figure 1 , the present invention provides a kind of method for automatically identifying traces of bullet casings, comprising the steps of:

[0079] (1) Use a three-dimensional confocal microscope to collect the bullet casing trace data and perform preprocessing. The specific steps are as follows:

[0080] 1) Using a three-dimensional confocal microscope to collect data on bullet casing traces, which can reflect its 3D surface topography;

[0081] 2) Use a low-pass spline filter to filter to weaken the waviness component;

[0082] 3) The top and bottom of the trace are cut with an appropriat...

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Abstract

The invention discloses a method for automatically identifying traces of bullet casings, which comprises the steps of: using a three-dimensional confocal microscope to collect data on traces of bullet casings and performing preprocessing; constructing a Gaussian difference pyramid of bullet casing traces; traversing each pixel point on the pyramid and surrounding it 26 points are compared, and the local extreme points are used as feature points; according to the calculated feature points, the feature vector is calculated by using the SIFT algorithm; according to the feature vector, the shell trace matching is performed by the Euclidean distance method; the feature point dense area is calculated , the percentage of its area in the total area of ​​the shell traces is used as the basis for judging whether it matches. Through the above method, a method for automatically identifying shell traces provided by the present invention meets the requirements of fast and accurate matching of shell traces, not only can realize the registration of a large number of shell traces, but also proposes a qualitative standard for judging whether the shell traces match, which can be Gun-related cases provide clues and litigation evidence, which greatly saves material and financial resources.

Description

technical field [0001] The invention relates to the field of bullet trace identification and identification, in particular to a method for automatically identifying bullet casing traces. Background technique [0002] Gun-related cases are usually vile in nature and extremely harmful, and must be detected and stopped as soon as possible to ensure social stability and public safety. Bullet mark inspection is an important technical means for investigating and handling gun-related cases, which can provide clues and litigation evidence for public security and judicial departments. The traditional bullet inspection method mainly relies on the bullet inspection personnel to observe the details of the traces on the surface of the bullet through a microscope to realize the comparison of the bullets. The whole process is time-consuming, heavy in workload and highly subjective. With the wide application of artificial intelligence, computer-aided automatic identification technology of ...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/33G06K9/46
CPCG06T7/33G06T2207/20016G06V10/462
Inventor 张浩孙付仲王华孟龙晖
Owner NANJING TECH UNIV
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