法医学杂志

法医学杂志 ›› 2019, Vol. 35 ›› Issue (2): 230-233，239.DOI: 10.12116/j.issn.1004-5619.2019.02.018

• 技术与应用 • 上一篇    下一篇

一体化微量血痕成像及遗留时间分析装置的研发

郑吉龙1， 温洪洋2， 章彪3， 巩京慧4， 腾月1， 李忠洋1，5   

  1. 1. 中国刑事警察学院法医学系，辽宁 沈阳 110035； 2. 中国刑事警察学院网络信息中心，辽宁 沈阳 110035； 3. 上海市公安局刑侦总队刑事技术中心法医室，上海 200000； 4. 贵州警察学院刑事技术系，贵州 贵阳 550005； 5. 饶河县公安局，黑龙江 双鸭山 155700
  • 发布日期:2019-04-25 出版日期:2019-04-28
  • 作者简介:郑吉龙（1976—），男，博士，教授，硕士研究生导师，主要从事法医病理学和法医命案现场分析教学、科研及鉴定；E-mail：lxts412@163.com
  • 基金资助:
    公安部重点研究计划资助项目（2011ZDYJXJXY005）；中国刑警学院研究生创新能力提升重点资助项目（2018YCZD07）；辽宁网络安全执法协同创新中心资助项目

Development of Integrated Device of Trace Bloodstains Imaging and Age Analysis

ZHENG Ji-long1, WEN Hong-yang2, ZHANG Biao3, GONG Jing-hui4, TENG Yue1, LI Zhong-yang1,5   

  1. 1. Department of Forensic Medicine, Criminal Investigation Police University of China, Shenyang 110035, China; 2. Network Information Center, Criminal Investigation Police University of China, Shenyang 110035, China; 3. Forensic Department of Criminal Technology Center, CID of Shanghai Public Security Bureau, Shanghai 200000, China; 4. Department of Criminal Technology, Guizhou Police College, Guiyang 550005, China; 5. Raohe Public Security Bureau, Shuangyashan 155700, Heilongjiang Province, China
  • Online:2019-04-25 Published:2019-04-28

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摘要： 摘  要： 目的 研发一种血痕成像及遗留时间分析装置，为推断现场血痕遗留时间提供一种无损、简便、客观的方法。 方法 基于数字成像及色彩模式分析原理，应用装置中移动终端部分采集不同遗留时间血痕图像，经计算机图像分析获得反映不同血痕遗留时间血痕图像颜色变化的6项参数（R、G、B、C、Y、M）随时间的变化规律，建立血痕遗留时间的多参数综合推断方程，将方程植入装置软件系统，实现血痕遗留时间智能推断，并对装置的性能和时间推断的可靠性进行验证。 结果 研发的一体化现场血痕成像及遗留时间智能推断的装置，可以进行现场血痕图像快速采集，结合相关智能软件可实现对现场血痕遗留时间的自动分析推断。装置盲测实验中，自然光照密闭环境、黑暗密闭环境组检测准确率均为95%，自然光照通风组准确率为80%。 结论 该一体化微量血痕成像及遗留时间分析装置可进行血痕遗留时间推断，操作方便，为血痕遗留时间推断提供了一种新的客观方法。

关键词: 法医病理学, 血迹, 图像处理, 计算机辅助, 遗留时间

Abstract: Objective To develop a device of trace bloodstains imaging and age analysis, so as to provide a non-destructive, simple and objective method for age estimation of bloodstains at the crime scene. Methods Based on the principle of digital imaging and color pattern analysis, the mobile terminal of the device was used to collect images of bloodstains of different ages. The time-dependent pattern of 6 parameters （R, G, B, C, Y, M） reflecting the changes of color of images of different ages was obtained by computer image analysis. A multiparameter comprehensive inference equation of bloodstains age was established and embedded into the device software to realize the intelligent inference of the bloodstains age. Then the capability and reliability of the device was verified. Results This integrated device of bloodstains imaging and age analysis could quickly collect bloodstains at the crime scene and automatically analyze and infer the age of bloodstains combined with related intelligence software. In the blind test, the detection accuracy of this device was 95% in both natural light airtight group and dark airtight group, and 80% in the natural light ventilation group. Conclusion The integrated device of trace bloodstains imaging and age analysis can be used in a simple manner, which provides a new objective method for bloodstains age estimation.

Key words: forensic pathology, blood stains, image processing, computer-assisted, remaining time