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Development of Integrated Device of Trace Bloodstains Imaging and Age Analysis / 法医学杂志
Journal of Forensic Medicine ; (6): 230-233, 2019.
Article in English | WPRIM | ID: wpr-985003
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.
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Full text: Available Index: WPRIM (Western Pacific) Main subject: Time Factors / Blood Stains / Image Processing, Computer-Assisted / Software / Reproducibility of Results / Forensic Pathology Limits: Humans Language: English Journal: Journal of Forensic Medicine Year: 2019 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Main subject: Time Factors / Blood Stains / Image Processing, Computer-Assisted / Software / Reproducibility of Results / Forensic Pathology Limits: Humans Language: English Journal: Journal of Forensic Medicine Year: 2019 Type: Article