College of Criminal Justice, Shandong University of Political Science and Law, Jinan 250014, China.
Key Laboratory of Evidence-Identifying in Universities of Shangdong, Shandong University of Political Science and Law, Jinan 250014, China.
Comput Intell Neurosci. 2022 Jul 15;2022:9524190. doi: 10.1155/2022/9524190. eCollection 2022.
Trace inspection is a key technology for collecting crime scenes in the criminal investigation department. A lot of information can be obtained by restoring and analyzing the remaining traces on the scene. However, with the development of digital technology, digital trace inspection has become more and more popular. So, the main research of this article is the design and realization of the trace inspection system based on hyperspectral imaging technology. This article proposes nondestructive testing technology in hyperspectral imaging technology. Combining basic principles of spectroscopy and the image of residual traces such as car tires, shoe soles, and blood stains, it can identify the key traces. Then, based on the image denoising and least squares support vector machine method, this study improves the accuracy and restoration of the image. Therefore, this study designs a test for the trace inspection system for testing hyperspectral imaging technology. The test items include the performance of the trace inspection system, the noise reduction of the trace inspection system, and the ability of the trace inspection system to inspect blood stains. The final collected data are improved to get the trace inspection system based on hyperspectral imaging technology proposed in this study. Compared with the traditional trace inspection system, the experimental results show that the trace inspection system based on hyperspectral imaging technology can improve the accuracy by 5%-28%, compared with the traditional trace inspection system. The image restoration degree of the hyperspectral imaging technology trace inspection system can be improved by 1%-19%, compared with the traditional trace inspection system.
痕迹检验是刑事侦查部门中收集犯罪现场的关键技术。通过对现场遗留痕迹的恢复和分析，可以获取大量信息。然而，随着数字技术的发展，数字痕迹检验越来越受到重视。因此，本文主要研究基于高光谱成像技术的痕迹检验系统的设计与实现。本文提出了高光谱成像技术中的无损检测技术。结合光谱学的基本原理和汽车轮胎、鞋底、血迹等残留痕迹的图像，可以识别关键痕迹。然后，基于图像去噪和最小二乘支持向量机方法，提高了图像的准确性和恢复能力。因此，本研究设计了一个针对高光谱成像技术痕迹检验系统的测试。测试项目包括痕迹检验系统的性能、痕迹检验系统的降噪能力以及痕迹检验系统检验血迹的能力。最终收集的数据进行了改进，得到了本研究提出的基于高光谱成像技术的痕迹检验系统。与传统痕迹检验系统相比，实验结果表明，基于高光谱成像技术的痕迹检验系统的准确率提高了 5%-28%，而传统痕迹检验系统的准确率提高了 1%-19%。
