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Footprint image processing method

A processing method and footprint technology, which is applied in the field of criminal investigation, can solve the problems of light spots on smooth surfaces, uneven illumination, and unfavorable threshold determination, and achieves a solution that is beneficial to binarization processing, optimizes the recognition effect, and avoids uneven illumination. Effect

Active Publication Date: 2018-11-23
CHENGDU UNIVERSITY OF TECHNOLOGY +1
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AI Technical Summary

Problems solved by technology

However, there are following disadvantages in collecting and extracting footprint images with this method: 1. The contrast between the target and the background is not strong; 2. The illumination is not uniform, and the smooth surface is easy to produce light spots; 3. The histogram features are not obvious, which is not conducive to the determination of the threshold

Method used

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  • Footprint image processing method

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Embodiment Construction

[0036] The present invention will be further described below in conjunction with accompanying drawing and specific embodiment: figure 1 Shown, the processing method of a kind of footprint image of the present invention, comprises the following steps:

[0037] S10. Data collection: use a three-dimensional laser scanner to collect footprints to obtain point cloud data;

[0038] S20. Data preprocessing: use data processing software to preprocess the collected point cloud data, retain the X and Y coordinate data in the point cloud data, convert and utilize the Z coordinate data, and remove color information as redundant data ;

[0039] S30. Feature extraction and footprint recognition: perform feature extraction and footprint recognition of the footprint image according to a specific algorithm.

[0040] According to the characteristics of footprint inspection, a 3D laser scanner that can be used for footprint inspection generally needs to meet the two requirements of high precis...

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Abstract

The invention provides a footprint image processing method. The method comprises the following steps of: S10, data acquisition: acquiring footprints by adoption of a three-dimensional laser scanner soas to obtain point cloud data; S20, data preprocessing: preprocessing the acquired point cloud data by utilizing data processing software, retaining X and Y coordinate data in the point cloud data, converting Z coordinate data to carry out utilization, and removing color information as redundant data; and S30, feature extraction and footprint recognition: carrying out feature extraction and footprint recognition on a footprint image according to a specific algorithm. According to the method, digital processing is taken as a main way, and feature extraction and recognition are carried out on the footprint images acquired by the three-dimensional laser scanner by adoption of a Python language related algorithm, so that the deficiencies that the illumination is not uniform, the comparison between targets and backgrounds is not strong and binary threshold values are difficult to determine in the traditional methods are effectively avoided.

Description

【Technical field】 [0001] The invention relates to the technical field of criminal investigation, in particular to a method for processing footprint images. 【Background technique】 [0002] Footprint images are one of the trace evidence with a high rate of leaving in crime scenes, which can provide reliable legal basis. The effective identification of footprint images can not only help investigators realize the series and parallel connection of cases, but also help them locate criminals. Therefore, the footprint images of criminal suspects are becoming more and more prominent in the investigation and solving of cases, and the extraction and recognition of footprint images have gradually become an important part of trace inspection in criminal investigation. [0003] When collecting images of footprint traces at the survey site, the traditional footprint collection method is as follows: use a strong parallel light source to irradiate the plane where the footprints are approxim...

Claims

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Application Information

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IPC IPC(8): G06K9/00G06K9/38G06K9/62
CPCG06V20/20G06V10/28G06F18/214
Inventor 施明智
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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