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涉车现场中轮胎痕迹图像的锐化增强技术.docx

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涉车现场中轮胎痕迹图像的锐化增强技术.docx

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文档介绍:该【涉车现场中轮胎痕迹图像的锐化增强技术 】是由【wz_198613】上传分享,文档一共【2】页,该文档可以免费在线阅读,需要了解更多关于【涉车现场中轮胎痕迹图像的锐化增强技术 】的内容,可以使用淘豆网的站内搜索功能,选择自己适合的文档,以下文字是截取该文章内的部分文字,如需要获得完整电子版,请下载此文档到您的设备,方便您编辑和打印。涉车现场中轮胎痕迹图像的锐化增强技术
Abstract:
In recent years, the use of image enhancement techniques has become increasingly popular in the field of forensics. The purpose of this research is to discuss the sharpening and enhancement of tire traces in a vehicle accident scene using digital image processing techniques.
Introduction:
One of the most important aspects of a vehicle accident investigation is the analysis of the tire marks left on the road surface. These marks can provide crucial information about the speed and direction of the vehicles involved in the collision, as well as about the type of tire used. However, tire marks can often be difficult to interpret due to environmental factors such as weather and road conditions, and the marks themselves may be faint or smudged. In such cases, image enhancement techniques can be used to improve the clarity and sharpness of tire traces.
Method:
Initially, the tire marks are photographed by a camera, and the resulting image is transferred to a computer. The image is then loaded into a software program that has a range of image processing tools. Initially, the brightness and contrast of the image are adjusted to make the tire marks easier to visualize. Then, the image is subjected to a process called unsharp masking. This is where a blurred version of the image is subtracted from the original, to enhance the edges of the tire marks. The intensity of the effect can be varied to obtain the desired level of sharpness and clarity.
Results:
The sharpening and enhancement of the tire marks using digital image processing techniques yields significant improvements in the legibility of the marks. This can lead to a more accurate interpretation of the speed, direction and type of tire used, which can be of great value in investigative work. It should be noted, however, that in some cases the image enhancement process can also amplify noise and other artifacts in the image, which can lead to erroneous results.
Conclusion:
Overall, the sharpening and enhancement of tire traces in a vehicle accident scene using digital image processing techniques is a powerful tool that can significantly improve the accuracy of investigations. However, it is essential to ensure that the enhancement process is carried out correctly, and that the limitations and potential inaccuracies of image processing techniques are taken into account. Ultimately, with careful application and interpretation, this technique can help to provide valuable insights into the factors that contributed to a vehicle accident, and aid in the provision of justice for those involved.