An automated method for the generation of bloodstain pattern metrics from images of blood spatter patterns

被引：0

作者：

Rough, Rosalyn ^{[1
,2
]}

Batchelor, Oliver ^{[2
]}

Green, Richard ^{[2
]}

Bainbridge-Smith, Andrew ^{[2
]}

机构：

[1] Inst Environm Sci & Res Ltd ESR, Christchurch Sci Ctr, POB 29-181, Christchurch, New Zealand

[2] Univ Canterbury, Fac Engn, Dept Comp Sci & Software Engn, Christchurch 4800, New Zealand

来源：

FORENSIC SCIENCE INTERNATIONAL | 2024年 / 363卷

关键词：

Bloodstain pattern analysis; Automated; Quantitative; Metrics; Segmentation; CLASSIFICATION; RELIABILITY;

D O I：

10.1016/j.forsciint.2024.112200

中图分类号：

DF [法律]; D9 [法律]; R [医药、卫生];

学科分类号：

0301 ; 10 ;

摘要：

An improved automated bloodstain pattern analysis method has been developed and validated, which utilises computer vision techniques to identify bloodstains on a plain background within a digital image. The method generates metrics relating to the individual stains as well as the overall pattern, including bloodstain pattern specific metrics such as the gamma angle, circularity, solidity, area of convergence, stain density and pattern linearity. This method provides an objective approach to the analysis of bloodstains and bloodstain patterns and can generate a wealth of quantitative data that is currently not obtainable using manual techniques or other image-based programs currently utilised in the discipline. This method will be useful to analysts and researchers investigating the application of quantitative methods to bloodstain pattern analysis.

引用

页数：8

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