Bibliographic Details
| Title: |
角膜图像推断死亡时间研究进展. (Chinese) |
| Alternate Title: |
Research of Postmortem-interval Estimation Based on Corneal Images: the Application Progress of Computer Vision. (English) |
| Authors: |
周 兰, 王业琳, 汤晓蕙, 周亚洲, 周盛斌, 陈 进 |
| Source: |
Forensic Science & Technology; Dec2025, Vol. 50 Issue 6, p619-626, 8p |
| Subject Terms: |
Computer vision, Cornea, Research methodology, Electronic data processing, Autopsy, Forensic medicine, Animal models in research, Medical cadavers |
| Abstract (English): |
Routine external examination of dead body can provide information to estimate the postmortem interval (PMI) roughly by observing postmortem phenomena in situ such as corneal opacity. With the development of computer vision, these traditional direct observation methods have developed with more objective, accurate, standardized, and convenient approaches. By reviewing the relevant literature published in recent years, this article summarized the application and improvement of PMI estimation based on corneal images, from aspects of observing or detecting indicators, equipment, evolving data processing methods, models, etc., in order to show application and research progress of computer vision technology applied in the field of forensic medicine. It introduced the main animal model research and human cadaver research, focused on several parts such as research materials, methods and results, and provided some comparative analysis. Then it extracted out several key points including the influence of eyelid opening or closing, the effect of light source, the interference of diseases and injuries, the selection of regions of interest in images, and the understanding of data processing methods, etc. Lastly, several advice were put forward to make a better understanding of the future development trend which may offer reference and ideas to colleagues. [ABSTRACT FROM AUTHOR] |
| Abstract (Chinese): |
常规尸表检验可以通过观察角膜混浊等尸体现象粗略推断死亡时间。随着计算机视觉技术的发展, 这 种传统的形态学观察方法有了新的打开方式, 更加客观、精确、标准化且不失便捷。本文通过搜索相关中英文 文献, 总结近年来应用原位角膜数字图像推断死亡时间的研究进展, 介绍计算机视觉技术在这个研究方向上的 应用, 对其中重点研究的材料和方法、结果进行了比较分析, 对关键事项进行了总结提示, 包括眼睑开闭问题、 图片中感兴趣区域的选取、光源的影响、疾病和损伤的影响、数据处理方法的选择等等, 最后对未来的发展趋 势进行了展望, 希望能为进一步的研究提供参考。 [ABSTRACT FROM AUTHOR] |
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| Database: |
Biomedical Index |