基于高光谱成像技术的阈值血迹识别方法

摘要：血迹识别是刑事侦查取证的重要手段之一。本文提出了一种基于光谱系数和类内方差的阈值识别方法，是一种非 接触、非破坏性的快速识别血迹的方法。从高光谱图像中提取血迹和其他可疑物质的光谱，计算这些光谱的相关系数和 类内方差，分析物质之间的差异。确定最佳血迹识别阈值为0.9。经过消除系统误差的预处理后，以0.9的阈值对印花布 和红色T恤上的血迹进行了识别实验。该方法可以快速、高效地将血迹与其他非血液物质区分开来。血迹提取率分别可 达93.35%和89.19%。为法医案件中实现血迹非接触、无损鉴定迈出了重要一步。

关键词：高光谱成像系统，光谱特性，图像处理，阈值方法，血迹识别。

期刊：Preprints

DOI：10.20944/preprints201901.0257.v1

设备：GaiaSorter

Threshold Bloodstain Recognition Method Based on Hyper-spectral Imaging Technology

Abstract：The identification of bloodstain is one of the most important approaches in obtaining evidence in criminalistics. A threshold method based on spectral co-efficient and interclass variance is proposed in this paper, it is a non-contact, non-destructive method for quickly identifying bloodstains. The spectra of bloodstains and other suspected substances were all extracted from their hyper-spectral image. Then calculate the correlation coefficients of these spectral and interclass variances, analyze the differences between substances. The best blood recognition threshold was determined as 0.9. After preprocessing for eliminating systematic errors, experiments with the threshold 0.9 are carried out to identify bloodstains on the calico and red T-shirt. The method can remarkably identify the bloodstain from other non-blood substances both quickly and efficiently. The blood extraction rate can reach to 93.35% and 89.19%, respectively. It is an important step toward the implementation of bloodstain non-contact and non- destructive identification in forensic casework.

Keywords：Hyper-spectral imaging system, Spectral characteristics, Image processing, Threshold method, Bloodstains recognition.